Frank W. Pun

This paper introduces a platform for disease-specific target identification using multi-omics data and evaluates models with a benchmarking system to improve drug development efficiency.

The paper uses AI and causal genetics to identify shared therapeutic targets for aging and 12 age-related diseases across four disease areas.

The paper maps the proteostasis network of membraneless organelles, revealing the role of anabolic components and molecular chaperones in regulating protein conformations.

DORA AI Scientist automates scientific research tasks and report generation using multi-agent AI systems and LLMs, reducing manuscript preparation time and enabling more focus on discovery.