Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Below is a curated list of machine learning development providers that stand out in 2026 for their ability to build enterprise-grade ML solutions tailored to complex business environments.