1 citations · 3 across the 4 of their papers we have counts for
4 papers
Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planning
Mohammad Areeb Qazi, Maryam Nadeem, Mohammad Yaqub
Healthcare requires AI that is predictive, reliable, and data-efficient. However, recent generative models lack physical foundation and temporal reasoning required for clinical dec…
Prot42: a Novel Family of Protein Language Models for Target-aware Protein Binder Generation
Mohammad Amaan Sayeed, Engin Tekin, Maryam Nadeem +4
Unlocking the next generation of biotechnology and therapeutic innovation demands overcoming the inherent complexity and resource-intensity of conventional protein engineering meth…
Gene42: Long-Range Genomic Foundation Model With Dense Attention
Kirill Vishniakov, Boulbaba Ben Amor, Engin Tekin +12
We introduce Gene42, a novel family of Genomic Foundation Models (GFMs) designed to manage context lengths of up to 192,000 base pairs (bp) at a single-nucleotide resolution. Gene4…
Chem42: a Family of chemical Language Models for Target-aware Ligand Generation
Aahan Singh, Engin Tekin, Maryam Nadeem +4
Revolutionizing drug discovery demands more than just understanding molecular interactions - it requires generative models that can design novel ligands tailored to specific biolog…