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ease
features
design
support

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Description

GPT-Rosalind is an advanced reasoning model created by OpenAI, aimed at enhancing scientific exploration in fields like biology, drug development, and translational medicine. Tailored for workflows in life sciences, it assists researchers in managing extensive literature, experimental findings, and specialized databases to formulate and test innovative concepts. By integrating a profound understanding of disciplines such as chemistry, genomics, protein engineering, and disease biology with sophisticated tool-usage capabilities, it effectively interacts with scientific databases, examines experimental results, and facilitates intricate, multi-stage reasoning tasks. Its functionalities span evidence synthesis, hypothesis formulation, literature assessment, sequence analysis, and experimental design, empowering scientists to transition more swiftly from raw data to meaningful insights. Furthermore, GPT-Rosalind revolutionizes cumbersome, time-consuming research methodologies into streamlined, AI-enhanced workflows, ultimately fostering a more productive scientific environment. This model exemplifies the fusion of artificial intelligence with scientific inquiry, paving the way for groundbreaking discoveries.

Description

MEDLINE serves as the flagship bibliographic database of the National Library of Medicine (NLM), boasting over 29 million references to journal articles primarily focused on life sciences and biomedicine. One of the unique aspects of MEDLINE is its use of NLM Medical Subject Headings (MeSH) for indexing records, which enhances searchability and organization. It plays a crucial role as the foundational component of PubMed, a comprehensive literature database managed by the NLM's National Center for Biotechnology Information (NCBI). MEDLINE is essentially the digital evolution of the MEDical Literature Analysis and Retrieval System (MEDLARS), which was established in 1964. The selection of journals for inclusion in MEDLINE largely relies on the recommendations made by the Literature Selection Technical Review Committee (LSTRC), which comprises external experts appointed by the NIH. The database encompasses literature published from 1966 to the present day, alongside select works from earlier years, thereby providing a rich historical context for researchers. Overall, MEDLINE stands as a critical resource for professionals seeking reliable and organized biomedical literature.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace
ChatGPT
Clarium Astra OS
Codex CLI
Compier Literature Screening
ConnectPointz
ElevateHT
OpenAI
SNF Metrics

Integrations

AWS Marketplace
ChatGPT
Clarium Astra OS
Codex CLI
Compier Literature Screening
ConnectPointz
ElevateHT
OpenAI
SNF Metrics

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com/index/introducing-gpt-rosalind/

Vendor Details

Company Name

National Library of Medicine

Country

United States

Website

www.nlm.nih.gov/medline/medline_overview.html

Product Features

Alternatives

Alternatives

Embase Reviews

Embase

Elsevier
Dialog Reviews

Dialog

Clarivate
Compier Literature Screening Reviews

Compier Literature Screening

Techsol Life Sciences