Researchers at the University of Pennsylvania have developed ApexGO, a novel, AI-powered method for turning promising but imperfect antibiotic candidates into more potent ones. Unlike many existing AI ...

Abstract: The fluorination reaction has a wide range of applications in the synthesis of drugs and pesticides. Bayesian optimisation can construct the mathematical connection between the key ...

This repository is associated with the paper Multi-Objective Causal Bayesian Optimization, jointly written at the University of Cambridge and the Technical University of Munich (TUM). We propose multi ...

Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in ...

Medicines optimisation teams are advancing patient care through initiatives like polypharmacy management and antimicrobial stewardship, yet face new challenges. FDB is developing holistic solutions to ...

Advances in genotyping technologies have provided breeders with access to the genotypic values of several thousand genetic markers in their breeding materials. Combined with phenotypic data, this ...

Abstract: Controlling a legged robot to climb obstacles with different heights is challenging, but important for an autonomous robot to work in an unstructured environment. In this paper, we model ...