Latest AI and machine learning research in work force for healthcare professionals.
Disease name normalization is an important task in the medical domain. It classifies disease names...
Compiling and characterising the diversity of bacterial pathogens of humans is a critical challenge ...
Diversity exists throughout biology, playing an important role in maintaining robustness and stabili...
Bacteria use antagonistic interbacterial weapons such as polymorphic toxin secretion systems (TSS) t...
Training spiking recurrent neural networks (SRNNs) presents significant challenges compared to stand...
Cyclic peptides are becoming attractive molecules for drug discovery because of their properties wit...
Dietary proteins are major modulators of gut microbial ecology, yet the microbial signatures and fun...
Light-sensitive proteins allow organisms to perceive and respond to their environment, and have dive...
Accurate biomolecular simulations are essential for understanding chemical processes and advancing a...
Overfishing has severely depleted marine populations worldwide, including within protected areas. Il...
The adaptive immune system monitors cellular integrity by recognizing short peptides from intracellu...
Large language models (LLMs) are increasingly being recognised as valuable knowledge communication t...
Artificial Intelligence (AI), and more specifically Machine Learning (ML), have become an increasing...
Activity-based protein profiling has identified hundreds of proteins from diverse classes that react...
Antibodies are central to immune defense and therapeutic design, yet predicting which sequences conf...
Foundation models are increasingly applied to single-cell transcriptomics, where they promise to cap...
Rubisco is the main gateway through which inorganic carbon enters the biosphere, catalyzing the vast...
Proteins and peptides underpin essential biological functions and technological applications, from t...
Cereal grains are fundamental to global food security and bioenergy production, yet the genetic and ...
Abdominal ultrasound is a crucial first-line diagnostic tool, yet its efficacy is inherently constra...
This study introduces a novel approach for training and fine-tuning machine learning models for bio-...