Tag:
Computational biology and bioinformatics
AI
Leveraging Large Language Models to Predict Patient Health Trajectories for Enhanced Digital Twin Applications
DT-GPT is a novel framework that utilizes fine-tuned pre-trained large language models (LLMs) on clinical data to forecast patients' laboratory values. This method is...
AI
MAIA: An AI-Powered Embryo Selection Tool for Enhancing Routine Clinical Testing in Embryology
The advancement of Assisted Reproductive Technology (ART) and artificial intelligence (AI) has revolutionized infertility treatment. Key studies, including Graham et al. (2023) and Jiang...
AI
Transforming Healthcare: Integrating Education, Research, AI, and Personalized Learning for Inclusivity
The Stanford Data Ocean (SDO) focuses on three key areas: robust data management for diverse multi-omics and wearable datasets, personalized education leveraging large-scale datasets,...
AI
Comprehensive Assurance Analysis Reveals High Vulnerability of Large Language Models to Adversarial Hallucination Attacks in Clinical Decision Support
In this study, we examined multiple Large Language Models (LLMs) under adversarial hallucination attacks in clinical contexts by embedding fabricated content. We varied text...
AI
Empowering Gene Editing: CRISPR-GPT for Automated Experimental Precision
CRISPR-GPT is an advanced AI co-pilot leveraging large language models (LLMs) to streamline gene-editing workflows, supporting four major modalities across 22 specific tasks. It...
AI
Evaluating the Output Quality of Large Language Models in Maternal Health
In a survey of 47 gynecology and obstetrics specialists with a median age of 50, 85% were female, averaging 19 years of clinical experience...
AI
Comprehensive Scoping Review of External Validation Studies on AI Pathology Models for Lung Cancer Diagnosis
This review identified 4,423 initial studies on AI models for lung cancer detection, supplemented by 440 additional sources. After removing duplicates, 22 studies met...