Article

Foundational model aided automatic high-throughput drug screening using self-controlled cohort study

2024-08-05

Abstract excerpt

<h4>Background</h4> Developing medicine from scratch to governmental authorization and detecting adverse drug reactions (ADR) have barely been economical, expeditious, and risk-averse investments. The availability of large-scale observational healthcare databases and the popularity of large language models offer an unparalleled opportunity to enable automatic high-throughput drug screening for both repurposing and...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d3d88eb4-11b5-5157-bedb-98af9865eb78
DOI: 10.1101/2024.08.04.24311480

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Foundational model aided automatic high-throughput drug screening using self-controlled cohort studyDOI 10.1101/2024.08.04.24311480Read

SPLIT: Safety Prioritization for Long COVID Drug Repurposing via a Causal Integrated Targeting FrameworkSemantic proximity Read

CauReL: Dynamic Counterfactual Learning for Precision Drug Repurposing in Alzheimer's DiseaseSemantic proximity Read

A Hybrid Pharmacovigilance Method for National-Scale Comorbidity Discovery: Association Rules with FDA-Approved PRR/Chi-square and EBGM Validation.Semantic proximity Read

Genotype-predicted drug response phenotypes and their co-occurrence with dispensed medicines among 738,531 participants in the UK Our Future Health studySemantic proximity Read

High-Throughput Clinical Trial Emulation with Real World Data and Machine Learning: A Case Study of Drug Repurposing for Alzheimer’s DiseaseSemantic proximity Read

Auditable LLM Curation of Clinical Notes Refines GLP-1 Initiation, Persistence Ascertainment and Compounding Use Beyond Prescription RecordsSemantic proximity Read

Leveraging population-based clinical quantitative phenotyping for drug repositioningSemantic proximity Read

Using Large Language Models to Assemble, Audit, and Prioritize the Therapeutic LandscapeSemantic proximity Read

Genome-wide and Phenome-wide Approaches to Understand Variable Drug Actions in Electronic Health Records.Semantic proximity Read

Development and validation of a generative AI-assisted medication-indication knowledge baseSemantic proximity Read

A Pilot Project Leveraging Large Language Models for Automated Screening and Variable Extraction in Observational StudiesSemantic proximity Read

Drug repurposing of metformin for Alzheimer’s disease: Combining causal inference in medical records data and systems pharmacology for biomarker identificationSemantic proximity Read