Alternatives to NVIDIA Clara

To drive precision medicine programs that work, pharmaceutical companies require comprehensive genomic information. However, decisions are often made with only 10% of the data available. Genomenon provides 100% of the data. ProdigyTM Patient Landscapes are a cost-effective and efficient natural history research solution for pharmaceuticals. They enhance insights from retrospective and prospective health data to support the development rare disease therapies. Genomenon uses an AI-driven approach to deliver a thorough and expert assessment of all patients in the medical literature in a fraction time. Get a complete overview of every genomic biomarker in the medical literature. Every scientific assertion is supported with empirical evidence from medical literature. Identify all genetic drivers and determine which variants are pathogenic according ACMG clinical standards.

We are a biotechnology company in clinical stage. We decode biology by integrating technological innovations across biology and chemistry to industrialize drug discovery. CRISPR genome editing and synthetic Biology allow for greater control over biology. Advanced robotics allows for reliable automation of complex laboratory research on an unprecedented scale. Neural network architectures allow for iterative analysis and inference from large, complex, in-house data sets. Cloud solutions increase the flexibility of high-performance computation. To build a next-generation biopharmaceutical business, we are using new technology to create virtuous learning cycles around datasets. A synchronized combination hardware, software, and data that is used to industrialize drug discovery. Redefining the traditional drug discovery process. One of the most extensive, broadest, and deepest pipelines in any technology-enabled drug company.

NVIDIA®, Parabricks®, is the only GPU accelerated suite of genomic analysis apps that delivers fast, accurate analysis of exomes and genomes for sequencing centres, clinical teams and high-throughput instrument developers. NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians--enabling significantly faster runtimes, workflow scalability, and lower compute costs. NVIDIA Parabricks can accelerate runtimes in a variety of hardware configurations, from FastQ to Variant Call format (VCF). This is done with NVIDIA Tensor Core GPUs. Genomic researchers will experience acceleration at every step of their analysis workflows - from alignment to sorting and variant calling. The compute time can be accelerated up to 107X when more GPUs are added.

BioNeMo, an AI-powered cloud service for drug discovery and framework, is built on NVIDIA NeMo Megatron. It is used to train and deploy large biomolecular Transformer AI models at supercomputing scale. The service provides pre-trained large language models (LLMs), native support for common file types for proteins, DNA, and chemistry, as well as data loaders for SMILES molecular structures and FASTA amino acid and nucleotide sequencings. You can also download the BioNeMo framework to run on your own infrastructure. ESM-1, which is based on Meta AI’s state-of the-art ESM-1b and ProtT5 respectively, are transformer-based protein-language models that can be used for learning embeddings for tasks such as property prediction and protein structure. BioNeMo will offer OpenFold, a deep-learning model for 3D structure prediction and novel protein sequences.

Artificial Intelligence and RNA sequencing (RNA–seq data) are both a necessity and a way to develop therapeutics that target splicing mistakes. Machine learning allows us to quickly identify new splicing mistakes and design therapeutic compounds to correct them. SpliceCore, our AI platform for RNA therapeutics research, is what we call SpliceCore. This technology platform was specifically designed for the analysis and interpretation of RNA sequencing data. It can identify, validate and test hypothetical drug targets quicker than traditional methods. Our proprietary database of over 5 million potential RNA-splicing errors is the heart of SpliceCore. It is the world's largest database of splicing mistakes and is used to test all RNA sequencing data that is submitted for analysis. Scalable cloud computing allows us to process large amounts of RNA sequencing data efficiently at a higher speed and lower cost, thereby exponentially accelerating therapeutic innovation.

Kanteron Platform ingested digital pathology slides, medical images, and patient data from modalities and sequencers. It then provided a complete data toolkit for all hospital network teams. Precision Medicine at the point-of-care: Pharmacogenomics is used to prevent adverse medication events. It also incorporates data sources that have drug-gene interactions that were not previously available in easily accessible formats (e.g. Tables in a PDF document) and implementing the major Pharmacogenomic Databases (like PharmGKB or DGIdb, OpenTargets ...). This allows the user to refine their query to specific gene families, types, interactions, etc. Flexible AI allows you to choose the data set that is most appropriate for your use case and then apply it to your relevant medical images.

Genospace understands that genomics is driving precision medicine development, but scaling its delivery remains a challenge. We are here to help. Our platform makes biomedical data meaningful, accessible and easy to use for everyone, especially those at the frontlines of care delivery. Your clinicians and researchers will have the information they need in order to make informed decisions. Join us in our mission to leverage high-dimensional molecular data to improve patient outcomes and accelerate drug discovery and research. For drug development and research, large-scale population data is essential. Genospace platform allows you to conduct cohort-driven analyses that will inform your research activities. We are experts in clinical trial research. Genospace allows you to quickly accrue patients by matching fragmented patient data with complex trial criteria. The Genospace platform enables you to integrate genomic medicine into your mainstream clinical care.

Our AI engine transforms drug discovery. Our discoveries help create better medicines faster. Our AI-enabled discovery portfolio is co-owned and owned by prominent investors. Atomwise developed a machine-learning-based discovery engine that combines the power of convolutional neural networks with massive chemical libraries to discover new small-molecule medicines. People are the key to redefining drug discovery using AI. We are committed to creating the best AI platform possible and using it to transform small-molecule drug discovery. To help drug developers achieve their goals, we have to tackle the most difficult and seemingly impossible targets. We also need to streamline the drug discovery process in order to make it more efficient. The ability to screen trillions of compounds in silica increases the chance of success. Demonstrates exceptional model accuracy, surpassing the challenge of false negatives.

Our global data-sharing networks generate clinically actionable insights to improve patient outcomes globally. SOPHiA GENETICS is on a mission to build the future in AI-assisted medical care. We are integrating multimodal data from healthcare-omics, unlocking existing data silos and developing machine learning models in order to produce actionable insight that can eventually support healthcare professionals improve patient outcomes. The new interface, features, and cutting edge capabilities will accelerate precision medicine workflows and bring us closer to democratizing the data-driven medicine.

BIOiSIMTM, a revolutionary 'virtual drug engine', is the first-in-class tool that allows drug developers to narrow down the number drugs that have potential value in treating or curing specific diseases or illnesses. We offer a variety of translational-based solutions that can be customized for your clinical and pre-clinical programs. All of these solutions are based on our BIOiSIMTM platform, which is a proven and validated platform for small molecules, large molecule, and viruses. Our models are built using data from thousands upon thousands of compounds across seven species, which gives them a robustness that is rare in the industry. The platform is focused on human outcomes and has at its core a translatability tool that transforms insights across species. The BIOiSIMTM platform is available before preclinical animal trials begin, which allows for earlier insights and saves on expensive outsourced experimentation.

DNAnexus Apollo™, accelerates precision drug discovery through collaboration that draws critical insights from omics data. Precision drug discovery requires the collection and analysis of large volumes of clinical and omics data. These data sets are extremely rich, but many legacy and home-grown informatics tools cannot handle their complexity and size. Silos, insufficient collaboration tools, and complex regulatory and security requirements can all hinder precision medicine programs. DNAnexus Apollo™, which supports precision drug discovery programs, empowers scientists and clinicians to analyze and explore omics and clinical data in a single environment built on a robust and scalable cloud platform. Apollo allows them to share data, tools and analyses securely with peers and colleagues from all over the world, regardless of whether they are on another floor or another continent.

Eidogen-Sertanty’s Target Informatics platform (TIP), is the first global structural informatics system. It enables researchers to examine the druggable genome from an structural perspective. TIP increases the rapidly expanding body experimental protein structure information and transforms structure based drug discovery from an inefficient, data-scarce discipline to a high-throughput science with rich data. TIP is a tool that bridges the knowledge gap between bioinformatics (bioinformatics) and cheminformatics. It provides drug discovery researchers with a knowledge bank of information that is both unique and highly complementary to existing bio- and cheminformatics platform information. TIP's seamless integration between structural data management technology and unique target-to-lead analysis capabilities enhances every stage of the discovery pipeline.

AIDDISON™, a drug discovery software, combines the power and efficiency of artificial intelligence (AI), computer-aided design (CADD), and machine learning (ML) to provide a valuable toolkit that can be used for medicinal chemistry. It is a unified platform that integrates all aspects of virtual screening, including ligand-based design and structure-based design. It also supports methods for in silico lead optimization and discovery.

InSilicoTrials.com, a web-based platform that allows users to create and simulate computational models and simulations. There are many easy-to-use tools in silico. The platform is primarily for users in the medical device and pharmaceutical industries. In silico tools for medical devices allow computational testing in different biomedical areas such as radiology, orthopedics, and cardiovascular during product development, validation, and design. The platform offers access to in-silico tools for the pharmaceutical industry, which can be used at all stages of drug discovery and development. It also covers a variety of therapeutic areas. The only cloud-platform built on crowdscience makes it easy to access validated models and reduce your R&D expenses. There is a growing list of models that can be used on a pay-per-use basis.

VIPER automates screening from remote patient identification (at point of diagnosis) through to qualified enrollment. VIPER uses artificial intelligence to match patients to precision trials within a narrow window of opportunity. This is done through the ingestion of lab-agnostic genomic and pathology data. It is tailored to the patient and the researcher. VIPER searches the personalized matching engine to locate the best clinical trials available for a patient's specific diagnosis--at that time. VIPER integrates workflow to send real-time notifications to the entire care team about a patient's eligibility in available clinical trials. This is done within a very limited enrollment window. VIPER provides interactive dashboards that allow you to access real-time data mining capabilities to aggregate patient data from both study and site levels to help you reach your study KPIs.

Azure Health Bot empowers healthcare organizations' developers to create and deploy conversational healthcare experiences that are compliant with AI, at scale. It has a built-in database of medical terms and natural language capabilities that allow it to understand clinical terminology. It can be easily customized to meet your organization's specific clinical use cases. The service is HIPAA compliant and aligned with industry standards. Create health bots with built-in medical knowledge, triage protocols and language models that understand clinical terminology. The bot can seamlessly hand off the interaction to a nurse, doctor, or support agent. Use a library of scenario templates tailored to the healthcare industry to create use cases faster. Support your organization's customized scenarios with healthcare-specific configurable options and extensibility.

Partek bioinformatics software provides powerful visualization and statistical tools in an intuitive interface. Researchers of all levels can explore genomic data faster and more efficiently than ever before. We turn data into discovery®. Our intuitive interface makes it easy for scientists to perform sophisticated array and NGS analysis using pre-installed workflows. Public and custom statistical algorithms can be used together to quickly and accurately distill NGS data into biological insights. Genome browser, Venn diagrams and heat maps, as well as other interactive visualizations, show the biology of your next generation sequencing and array data in vivid color. Our Ph.D. scientists can be reached at any time to assist with your NGS analysis. This product is specifically designed for next-generation sequencing applications that require high-level computing. It offers flexible installation and management options.

Combining the multiomic data and medical history of an individual to deliver more personalized healthcare. Use purpose-built databases to support large-scale analyses and collaborative research across populations. Accelerate your research with scalable workflows, integrated computation tools and integrated computing. Protect patient privacy by ensuring HIPAA compliance and using built-in data access, logging and logging. AWS HealthOmics enables healthcare and life sciences organizations and their software partner to store, query and analyze genomic, transcriptionomic, or other omics data, and then generate insights using that data. Store and analyze omics for hundreds of thousands patients to understand the relationship between omics variation and phenotypes in a population. Create reproducible and traceable workflows for clinical multiomics to reduce turnaround time and increase productivity. Integrate multiomic analyses into clinical trials to test out new drug candidates.

Genedata Biologics®, streamlines the discovery of biotherapeutics. This includes bispecifics and ADCs as well as TCRs, CARs-Ts, CARs-Ts, CARs, and AAVs. It integrates all discovery workflows, making it the most popular platform in the industry. This allows you to focus on innovation and is the most widely used. A first-in-class platform that digitalizes biotherapeutic discovery accelerates research. The platform simplifies complex R&D processes by allowing for the creation, tracking, testing, and evaluation of novel biotherapeutics drugs. It can work with any format: antibodies, bi- and multi-specifics as well as ADCs, novel scaffolds, therapeutic proteins, and engineered therapeutic cell line such CAR-T cells and TCRs. Genedata Biologics acts as a central data backbone that integrates all R&D processes. This includes library design, immunizations, selections, panning, molecular Biology, screening, protein engineering and expression, as well as candidate development and manufacturability assessment.

BC platforms uses the latest science, unique technology capabilities and strategic partnerships to accomplish our mission of revolutionizing drug discovery, personalizing care, and transforming medicine. Modular, flexible platform that integrates healthcare data. Open analytics framework seamlessly combines the most innovative methods, technology developments and analytics in one platform. Superior security: ISO 27001 certified and GDPR and HIPAA compliant. A complete product portfolio allows modern healthcare systems to fully embrace personalized medicine. Scalable deployments allow for a robust start and large-scale healthcare operation. Our unique toolbox enables faster translation of research insights into clinical practice. Our unique toolbox helps reduce risk, increase your pipeline value, and advance enterprise data strategy. We remove the barriers to data access and enable rapid insight generation.

Illumina DRAGEN Secondary Analysis is a comprehensive and accurate analysis of next-generation sequence data. Machine learning and graph reference genome drive unprecedented accuracy. Ultra-efficient workflow. Can process a whole 34x human genome in under 30 minutes using DRAGEN server version 4. Reduces FASTQ files up to 5x, resulting in an ultra-efficient workflow. Analyzes data from next-generation sequencing (NGS), including whole genomes, transcriptomes, methylomes and exomes. Available on the platform of your choice and scalable according to needs. DRAGEN analysis is the most accurate for germline and somatic mutation calling, as demonstrated by precisionFDA's industry challenges. DRAGEN analysis allows labs of any size and discipline to do more with genomic data. DRAGEN analysis is based on highly reconfigurable FPGA technology to provide hardware-accelerated implementations for genomic analysis algorithms.

The biopharmaceutical market is complex today. There are growing demands for better specificity and safety, new treatment classes, and more complex mechanisms of disease. To keep up with this complexity, we need to have a better understanding of therapeutic behavior. Simulation and modeling provide unique opportunities to explore biological and physical processes down to the atomic levels. This can be used to guide physical experimentation and accelerate the discovery and development process. BIOVIA Discovery Studio brings together more than 30 years of peer reviewed research and world-class in-silico techniques like molecular mechanics and free energy calculations. It also allows for biotherapeutics developmentability and other related topics into one environment. It gives researchers a complete toolkit to explore the nuances in protein chemistry and to catalyze the discovery of small and big molecule therapeutics, from Target ID to Lead Optimizement.

Rare diseases are often poorly understood and only a small amount of information is available to support drug discovery programs. Healnet, an AI platform that analyzes millions of data points related to drug and disease, helps overcome these challenges. It identifies novel connections that could lead to new treatment options. We can simultaneously run multiple stages at scale by applying frontier technologies throughout the discovery and development process. It's a simple model that can be used by almost all pharmaceutical companies. One disease, one target and one drug. The next generation in drug discovery is AI-powered and parallel. The key three paradigms of drug discovery are combined.

Chat with a medical AI that provides answers, cites sources, updates medical knowledge every day, and allows you to add and select knowledge bases. Pre-train the model using 2,300+ reference datasets that have been curated by medical domain specialists. These include hundreds of terminologies and data on medical research, clinical trial, patents and population health. Indexing of multiple sources for medical research and data. Updates daily on new medical results, clinical trial, and terminologies. Prepared to process millions or even billions of documents. Scale the cluster according to your needs. A medical chatbot uses conversational AI, such as natural language processing, to interact with users, and provide them with information, advice or support. They can be used in a variety of ways. Answer general medical questions regarding diseases, health conditions and treatment options.

Our reputation as thought leaders in the areas of ADMET property prediction, physiologically-based pharmacokinetics (PBPK) modeling, pharmacometrics, and quantitative systems pharmacology/toxicology is earned through the success our clients have found through their relationship with us. With over 20 years of experience, we have the ability to translate science into software that is easy to use. We also provide expert consulting support for drug discovery, clinical research, and regulatory submissions.

Advanced molecular modeling can transform drug discovery and materials research. Our physics-based computational platform combines differentiated solutions for predictive modelling, data analytics, collaboration, and collaboration to allow rapid exploration of chemical space. Our platform is used by industry leaders around the world for drug discovery and materials science in fields such as aerospace, energy, semiconductors and electronics displays. The platform powers our drug discovery efforts, from target identification through hit discovery to lead optimization. It also powers our research collaborations to create novel medicines for critical public healthcare needs. Our team includes more than 150 Ph.D. scientists. This allows us to invest heavily in R&D.

Scitara DLX™ provides a fast connectivity infrastructure for any instrument used in life science laboratories. It is fully compliant and auditable, and can be accessed from any cloud-based platform. Scitara™, a universal digital data network, connects all instruments, resources, apps, and software within the laboratory. The cloud-based platform, which is fully auditable, connects all data sources in the lab, allowing data to flow freely across multiple endpoints. Scientists can now spend their time on scientific research and not waste it trying to solve data problems. DLX corrects and curates flight data to support the creation of precise, structured data models that feed AI/ML systems. This supports a successful digital transformation strategy for the pharma and biopharma sectors. The ability to access scientific data allows for faster decision-making and drug discovery, which helps bring drugs to market quicker.

VeraChem LLC was established in 2000 to advance computer-aided drug discovery. These methods are implemented in high-performance software and provide comprehensive support to users. This is a key strategy of VeraChem LLC for product development. Current VeraChem software capabilities include host-guest and protein-ligand binding affinity prediction, fast calculation and computation of partial atomic charges for druglike compounds, computation and force of energies and forces using all the most commonly used empirical force field, automatic generation and generation of alternate resonance forms for drug-like substances, conformational search using the powerful Tork algorithm and automatic detection and removal of topological and 3D-molecular symmetries. VeraChem's software packages were built from a modular code base.

Amazon Neptune is a fully managed graph database service that allows you to quickly and reliably build applications that can work with highly connected data sets. Amazon Neptune's core is a purpose-built graph database engine that can store billions of relationships and query the graph with only milliseconds latency. Amazon Neptune supports the popular graph models Property Graph, W3C's RDF, as well as their respective query languages Apache TinkerPop Gremlin, SPARQL. This allows you to quickly build queries that efficiently navigate large datasets. Neptune supports graph use cases like recommendation engines, fraud detection and knowledge graphs. It also powers network security and drug discovery.

Correlation Engine, an interactive omics database, places private omics data into a biological context by combining it with highly curated publicly available data. Correlation Engine, one of the largest databases in the world for life science research, provides researchers with unprecedented access and insight to a vast number of high-quality whole genome analyses. The knowledgebase allows for novel discoveries through the interrogation of billions of datapoints derived from standard analyses of whole genome studies. A suite of applications for determining biological context, a constantly growing library of curated datasets, and support of multiple species and multi-omic data sets. Use a simple graphical interface to leverage guided workflows and APIs. Accelerate the journey from omic to decision-making and gain access to more than 25,000 multi-omics studies that have been reanalyzed (from over 250.000 signatures).

Dendi is a configurable LIS platform that gives clinical labs the flexibility to support a variety of modalities (toxicology, clinical chemistry, molecular, PGx, CGx, genomics, and more). Designed by a team of medical lab experts and modern software developers, the end product is one that hundreds of lab professionals trust for high-volume and novel testing workflows.

Use AI to accelerate the journey from bench-research and laboratory insights to life-changing therapies. Reduce your reading time to minutes and gain up to 90% more research productivity. With a high-precision and high-accuracy research, you can cut through the noise to navigate the ever-growing amount of scientific literature. Save time, reduce bias, and increase the odds of discovering novel things. Explore disease biology in depth and discover advanced targets. Causaly’s high-precision graph of knowledge consolidates evidence from millions publications, allowing for unbiased, deep scientific exploration. You can navigate cause-and effect relationships in biology without being an expert. Discover hidden connections by viewing all scientific documents. Causaly’s powerful AI machine is able to read millions of published biomedical publications in order to support better research and decision-making.

The award-winning XIFIN LIS, a SaaS-based laboratory information platform, is fully scalable and scalable. It offers flexible and secure connectivity, multi-specialty workflows and cutting-edge capabilities to optimize complex and high volume testing labs. The healthcare industry is changing to accommodate patient-centered and value-based coordinated care models. The rapid adoption of next-generation sequencing (NGS) and genomic testing is accelerating this shift. Laboratories will need to adapt their processes to meet the challenges of reporting and implementing these complex tests. Diagnostic insights can help reduce healthcare costs and improve patient care. It is therefore crucial that laboratories integrate better with the healthcare system. These demands drive greater interaction and communication among all healthcare and diagnostic providers.

We combine clinical and experimental data with machine learning to improve precision medicine and navigate human disease biology. Contingent AI™, a patent-pending technology, understands data relationships to provide sophisticated insights. We tackle data bias by iterating upon machine learning models that are based on decisions made during the feature engineering and pre-processing stages. We use zebrafish, cell, and other phenotypic animals models to validate in-silico predictions in in vivo experiments. We also genetically modify them in vitro to improve translation. We quickly incorporate new data into machine learning models by using active learning and computer vision on validated models of cardiac, central nervous system, and rare disorders.

Our immunotherapy approach starts with our understanding of antigens. We also know which neoantigens will be present on cells by Human leukocyte antigen molecules. This will allow us to identify the ones that will be transcribed and translated. Gritstone EDGETM is our machine-learning-based platform that enables us to accomplish this. It is difficult to develop cancer immunotherapies that include tumor specific neoantigens. Tumors can have hundreds of mutations. However, only a small number of these mutations result in true tumor-specific antigens. We used EDGE's new integrated neural network architecture to train it with millions of data points from hundreds tumor and normal tissue samples taken from patients of different ancestries.

OmicsBox, a leading bioinformatics tool, offers end-toend data analysis for genomes, transcriptomes and metagenomes. It also provides genetic variation studies. The application, which is used by leading private and public research institutes worldwide, allows researchers to process large and complicated data sets and streamline their analytical process. It is designed to be efficient, user-friendly and equipped with powerful tools to extract biological insight from omics data. The software is divided into modules, each of which has a set of tools and features designed to perform specific types of analyses, such as de novo genome assemblies, genetic variations analysis, differential expression analyses, taxonomic classifications, and taxonomic classes of microbiome, including the interpretation of results and rich visualizations. The functional analysis module uses the popular Blast2GO annotating methodology, making OmicsBox a great tool for non-model organisms research.

Azenta Life Sciences provides scalable, flexible, and powerful informatics sample processing systems that allow lab systems to efficiently deploy across all locations and use built-in project management functionality. We offer unrivaled sample exploration, management, and delivery solutions to accelerate discovery, development and delivery. Azenta Life Sciences offers cloud-based informationatics solutions for sample processing. These solutions automate laboratory workflows, and reduce staff workloads through standard processes. Modules can be used to manage patients, families, clinical trials, informed consent, storage and diagnostics, as well as sample processing. Interfaces with external data sources are available and flexible options for integrating 3rd-party systems and instruments.

Aspect Analytics is a multi-omics spatial platform for collaborative cross-disciplinary data management and analysis. For teams working in drug development, biomarker research, pathology analysis and beyond. Aspect Analytics facilitates cross-disciplinary collaboration and enables breakthrough research by bringing multi omics data into one collaborative platform. Add different spatial omics measurements to one visualization simultaneously. Our platform will combine data from all of your spatial multi-omics tests to give you the insights you require. Securely store and manage petabytes. Access it anywhere, anytime. Scale and customize your data infrastructure to meet your needs. Integrate spatial biology data across different technologies and vendors, regardless of data format. Set up automated workflows to run in-depth analysis on large datasets in parallel.

Arterys, the AI platform for medical imaging, allows you to integrate leading AI clinical applications into your existing PACS/EHR driven workflow. This makes it an extension of what you do already. AI is real. We improve physician experience, accuracy in diagnosis and treatment, financial performance, and outcomes that are important to patients and providers. Accessible from any valid device via the cloud, it is fast and easy to deploy. There is no need for PHI exchange. It is completely secure. Arterys can be connected to your PACS/RIS/EMR/dictation software. Rapid deployment with minimal infrastructure. Available in over 100 countries. Our elastic cloud GPU architecture speeds up all tasks. You can render 3D files, large multi-dimension data in Gb and run multiple AI applications simultaneously. Image caching and pre-fetch allow for faster loading and analysis.

Our AI products are designed for healthcare professionals to help them at critical moments in their medical journey. We enable seamless workflow optimization throughout the care continuum, including preventive screenings, early detection and emergency care. Our AI is built in collaboration with top healthcare professionals and training algorithms that process unprecedented amounts of data. Our solutions are backed by deep data science research to anticipate your care needs and assist you in limited circumstances. Our AI solutions can be deployed wherever and whenever needed. They are compatible with any device and can integrate with existing technological infrastructure. We offer easy deployment and scaling, as well as industry-certified data security. Our team is here to help you at every stage of your AI journey.

adWATCH – AE assists pharmaceutical companies to report adverse events that may occur during clinical trials. adWATCH – AE provides a quick and efficient way for a reporter at a clinic or hospital to generate and manage Adverse Event Reports (AERs), and report to regulatory agencies and government agencies. A negative or dangerous effect is one that a patient experiences due to the use of drugs or medical devices. Adverse event reporting involves the tracking of all medical complaint cases. This allows for the generation of MedWatch reports, CIOMS and additional reports for management. adWATCH – AE allows researchers, physician-investigators, Contract Research Organizations, clinical trial specialists, and other healthcare professionals to create and file AERs in FDA mandated MedWatch or CIOMS format.

Genoox is a growing and diverse community that gathers the most relevant data and delivers real-world genomic insights. These insights can be used to improve patient outcomes and shape the business of healthcare. Our solutions are changing genomics. Genoox leverages the power of its community to combine public data with community data to speed up the path from DNA sample through to clinical report. This improves patient care by making genomic information accessible and actionable at point of care. Genoox is a platform that enhances research and life science companies. It uses real-world data and evidence to power robust genomic analytics. This enables researchers to simplify complex genomic data and make important discoveries using the most advanced genetic tools. Genoox allows biosystems companies, such as DNA sequencing companies, to bundle their state-of-the art genomic engine with dedicated assays.

This free tool provides stunning visualizations of genomic data, giving you the power to see exactly what is happening at each base pair within your samples. GenomeBrowse is a desktop application that runs natively on your computer. You no longer have to compromise on speed or interface quality in order to achieve a consistent experience across platforms. It was designed with performance in mind, to provide a faster browsing experience than any genome browser currently available. GenomeBrowse has also been integrated into the powerful Golden Helix VarSeq annotation and interpretation platform. VarSeq is a powerful tool for filtering, analyzing, and annotating your data. If you enjoy the visualization experience provided by GenomeBrowse then try it out. GB can show all your alignment data. You can find context-relevant findings by looking at all your samples together.

To make health breakthroughs more rapid, people must be involved in research. We have created a platform that connects individuals, communities, researchers, and others through trust, transparency, shared value, and shared benefit. Every person has unique information that could lead to the next medical breakthrough. Sharing your health data can help uncover new insights. Communities bring people together to quickly find answers. We manage your data and health experiences so you can start right away. We bring together individuals and communities to share their health data in order to answer the most pressing questions of life. People can unite with a common vision of fairness and responsibility, and it can change the face of established systems and institutions. A team of passionate technology and genomics leaders created it.

The process of bringing a new drug to market, from the initial step to the final market introduction can be time-consuming, expensive, and highly regulated. It can take up to a decade. Final success depends on early access to accurate analytical results that are fast enough to make the right decisions during development and minimize late attrition. Today's drug development relies heavily on a rational approach. Typically, identifying the biological target is the first step. To identify the most promising candidates, it is necessary to have a deep understanding about their properties. Finding the most promising lead molecules can be a daunting task once a biological target is established. Lead discovery is typically the identification of potential drug candidates, either small organic molecules or biologic assembly with therapeutic potential.

HeartKey®, 2.0 is a suite powerful EKG algorithms and analytic that provides breakthrough levels of medical accuracy, efficiency, and signal clarity. It also reduces EKG signal noise and improves signal clarity. It also delivers FDA-cleared data and actionable wellness insights. HeartKey®, 2.0 is the perfect balance between the rapidly growing consumer and medical device markets. It is the new EKG performance standard that tech companies are using to bring next-generation devices and platforms to market. This has the potential to reduce the burden on hospitals and clinics by enabling greater efficiency and accuracy.

LiveDesign is an enterprise information platform that allows teams to collaborate, design, experiment, analyze, track, and report in one central platform. You can capture ideas and model data. Create and store virtual compounds in a central database. Use advanced models to prioritize new designs. Integrate biological data and model results from federated corporate databases. Use sophisticated cheminformatics for faster analysis and development of compounds. Advanced physics-based methods are combined with machine learning techniques to quickly improve prediction accuracy. Remote team members can collaborate in real-time. You can collaborate with remote team members to share ideas, test, revise, or advance chemical series without losing sight of your work.

Our healthcare-specific Natural Language Processing and AI Engine stores more than 70% of healthcare data in clinical documents, reports and patient charts, clinician notes, discharge letters, and patient charts. This allows us to identify the concepts, attributes, and context that are needed to deliver business insight, optimize billing, identify and rank patient risks, compute quality metrics, collect sentiment and outcome data, and provide business insights.

AutoDock is a set of automated docking tools. It predicts how small molecules, such sub- or drug candidates, will bind to a receptor with a known 3D structure. It has been improved over the years to add new functionalities and multiple engines were developed. AutoDock 4 is the current version, and AutoDock Vina is the latest. AutoDock-GPU is an accelerated version that runs hundreds of times faster than the original single CPU docking code. AutoDock 4 is actually composed of two main programs. Autodock docks the ligand to a list of grids that describe the target protein. Autogrid pre-calculates the grids. The atomic affinity grids can also be visualized. This can be used to help organic synthetic chemists create better binders.

The QIAGEN CLC Geneomics Workbench is a powerful tool that works for all workflows. It is easy to overcome data analysis challenges with cutting-edge technology, unique features and algorithms that are widely used by scientists in industry and academia. Bioinformatics software solutions that are user-friendly allow for comprehensive analysis and interpretation of your NGS data. This includes de novo assembly and transcriptome assembly, resequencing analysis, WES and targeted panel support, variant calling, variant calling, RNA–seq, ChIP–seq and DNA methylation analysis (bisulfite sequence analysis). You can analyze your RNA-seq (miRNA, smallRNA) and smallRNA (lncRNA), data using easy-to-use transcriptomics workflows that allow for differential expression analysis at both gene and transcript levels. QIAGEN CLC Genomics Workbench was designed to support a wide variety of NGS bioinformatics programs.