Search Results for author: Jordan Hilsman

Found 3 papers, 1 papers with code

Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications

no code implementations14 Feb 2024 David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawala, Yanshan Wang

In this paper, we first propose a new task, which is the translation between drug molecules and corresponding indications, and then test existing LLMs on this new task.

Drug Discovery Language Modelling +2

Large Language Models Vote: Prompting for Rare Disease Identification

2 code implementations24 Aug 2023 David Oniani, Jordan Hilsman, Hang Dong, Fengyi Gao, Shiven Verma, Yanshan Wang

This method achieves improved results to any one model in the ensemble on one-shot rare disease identification and classification tasks.

Few-Shot Learning

From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence

no code implementations4 Aug 2023 David Oniani, Jordan Hilsman, Yifan Peng, COL, Ronald K. Poropatich, COL Jeremy C. Pamplin, LTC Gary L. Legault, Yanshan Wang

In 2020, the U. S. Department of Defense officially disclosed a set of ethical principles to guide the use of Artificial Intelligence (AI) technologies on future battlefields.

Decision Making

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