Fwd: Quantum for Life Sciences

for a title, how about : " Applications of Quantum Computing in Biomedical Data Science " For a short abstract, how about : " My talk will cover various applications of quantum computing (QC) in biomedical data science. In particular, I will discuss : (1) How can we use QC for ML in defined biomedical problems. (2) The use of quantum representations for achieving biomedical privacy. (3) Fitting QC into larger biomedical workflows. The talk will include material from the following papers: https://arxiv.org/abs/2509.12465 https://journals.aps.org/pra/abstract/10.1103/PhysRevA.111.042416 https://academic.oup.com/bioinformatics/article/39/1/btac789/6881079 https://www.nature.com/articles/s41592-020-01004-3 " == i0ismb26

Abstract for Oxford talk (eur26+ox)

TITLE: AI in Structural Bioinformatics: ABSTRACT : This talk covers AI methods in structural bioinformatics, with a focus on modeling protein flexibility and disorder. It introduces DreamFold, an AI "world model" that learns folding pathways in latent space, replacing a slower classical sampling approach (discard-and-restart). It presents machine-learning improvements to Kohn-Sham Hamiltonian estimation for faster DFT calculations on larger molecules. It also shows that ensembles of sequence-based deep learning models outperform individual predictors and 3D docking for drug screening. Finally, it addresses protein aggregation in disease (e.g., AD) via liquid-liquid phase separation (LLPS), using LLM embeddings and graph neural networks to predict LLPS-prone regions, intrinsically disordered regions (IDRs), and the effects of specific mutations.