Jackson Laboratory

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Zeeshan Ahmed, Khalid Gaffer Mohamed, Saman Zeeshan et al.

2020 · 971 Zit.

An evaluation of GPT models for phenotype concept recognition

Tudor Groza, Harry Caufield, Dylan Gration et al.

2024 · 35 Zit.

Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System

Andrea Esposito, Elena Casiraghi, Francesca Chiaraviglio et al.

2021 · 9 Zit.

Microlearning: <scp>Evidence‐based</scp> education that is effective for busy professionals and short attention spans

Therese Ingram Nissen, Emily Edelman, Linda Steinmark et al.

2023 · 9 Zit.

Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features

Xuan V. Nguyen, Engin Dikici, Sema Candemir et al.

2022 · 7 Zit.

Building a literature knowledge base towards transparent biomedical AI

Yuanhao Huang, Zhaowei Han, Xin Luo et al.

2024 · 7 Zit.

Phenotate: crowdsourcing phenotype annotations as exercises in undergraduate classes

Willie Chang, Pouria Mashouri, Alexander X. Lozano et al.

2020 · 6 Zit.

Consistent Performance of GPT-4o in Rare Disease Diagnosis Across Nine Languages and 4967 Cases

Leonardo Chimirri, J. Harry Caufield, Yasemin Bridges et al.

2025 · 4 Zit.

Ethical Frameworks for Data-Driven Environmental Health Studies in the AI Era

Miao Yu, Mingliang Fang, Bin Wang

2025 · 2 Zit.

MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs

Samuel G. Armato, Karen Drukker, Lubomir M. Hadjiiski et al.

2025 · 1 Zit.

Genomic medicine year in review: 2025

Teri A. Manolio, Alauna Rupert, Jahnavi Narula et al.

2025 · 0 Zit.

AI in Biocuration: Challenges, Opportunities, and a Roadmap for Sustainable Integration

Valerio Arnaboldi, Lynn M. Schriml, Matt Jeffryes et al.

2026 · 0 Zit.

AI in Biocuration: Challenges, Opportunities, and a Roadmap for Sustainable Integration

Valerio Arnaboldi, Lynn M. Schriml, Matt Jeffryes et al.

2026 · 0 Zit.

Systematic benchmarking demonstrates large language models have not reached the diagnostic accuracy of traditional rare-disease decision support tools

Justin T. Reese, Leonardo Chimirri, Yasemin Bridges et al.

2026 · 0 Zit.

Translating Data Science Results into Precision Oncology Decisions: A Mini Review

Enrico Capobianco, Marco Dominietto

2023 · 0 Zit.