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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
The Ascendance of Large Language Models
This issue of Nature Computational Science explores the transformative impact of large language models (LLMs) across various scientific fields while highlighting their potential challenges....
AI
Enhanced Drug Analysis through Collaborative Large Language Models
This content discusses the development of DrugGPT, an advanced ensemble model integrating three general-purpose large language models (LLMs) tailored for the medical domain. It...
AI
OpenAI Aims to Develop Internal Advertising Infrastructure
OpenAI is expanding its marketing capabilities by hiring a Growth Paid Marketing Platform Engineer to enhance ChatGPT's internal ad platform. This role, part of...
AI
An Open-Source Software Pipeline for Extracting Medical Information in Oncology Using Large Language Models
The information extraction (IE) protocol encompasses four stages: problem definition and data preparation, data preprocessing, LLM-based IE, and output evaluation. Designed for clinical researchers...
AI
UNSW Sydney Secures Major Partnership with OpenAI for Australia’s Largest ChatGPT Educational Initiative
UNSW Sydney has secured a landmark agreement with OpenAI to implement its ChatGPT Edu platform for staff, marking Australia’s largest educational partnership with the...
AI
An Advanced Dual-Conditional Stable Diffusion Model for Deciphering Oracle Bone Inscriptions
Overview of OBI Decipherment Using Dual-Condition Stable Diffusion Model
This study presents a dual-phase approach for deciphering Oracle Bone Inscriptions (OBI) into modern Chinese characters,...
AI
AI-Enhanced Epitope Prediction: A Comprehensive Review, Comparative Analysis, and Practical Guide for Vaccine Development
The evolution of vaccine development has shifted dramatically, influenced by advances in immunology and technology. A pivotal article by Benn et al. (2020) in...