Latest AI and machine learning research in infectious disease for healthcare professionals.
Type VI secretion system effectors target the cell wall, membranes and nucleic acids, leading to the killing of bacteria or impairment of host cell defense mechanisms. Accurate identification of T6SEs will be beneficial to understand the virulence of these bacteria via type VI secretion systems as well as bacterial pathogenesis. Although some traditional machine learning-based and deep learning-ba...
For decades, flow cytometry has allowed for single-cell profiling based on selected biomarkers and is widely used in both clinical and research settings. One major limitation of most conventional flow cytometry analyses is the dependency on a mostly manual gating process. This generally involves sequentially selecting biomarkers to isolate phenotype-associated cell populations, an approach that is...
Epstein–Barr virus (EBV) is strongly implicated in Multiple Sclerosis (MS), but how its influence varies across MS clinical types remains unclear. We ...
Machine learning has transformed how we predict protein structures and interactions, but its full potential in drug discovery is only beginning to be ...
The ability of organisms to adapt and survive depends on the effects of genes and the environment on fitness. However, the multigenic nature of fitnes...
Phytophthora capsici is a destructive, broad-host-range oomycete responsible for substantial losses in global agriculture. While most transcriptomic s...
Antibodies play a central role in neutralizing pathogens through direct interference with viral entry and recruitment of effector immune cells. Howeve...
We describe peptide mapping through Split Antibiotic Resistance Complementation (SpARC-map), a method to identify the probable interface between two i...
The widespread use of antibiotics promotes both resistance and tolerance. While resistance enables bacterial growth in the presence of drugs, toleranc...
Beyond antigen recognition, antibodies direct diverse immune effector functions through their constant (Fc) domain. While the Fc domain is central to ...
Since the clinical introduction of antibiotics in the 1940s, antimicrobial resistance (AMR) has become an increasingly dire threat to global public he...
Neglected Tropical Diseases (NTDs) continue to be a global health concern, affecting millions worldwide. Arboviruses such as Chikungunya virus (CHIKV)...
Protein language models (PLMs) are often assumed to capture evolutionary information by training on large protein sequence datasets. Yet it remains un...
Pyrazinamide is an important first-line antibiotic for treating tuberculosis and resistance is primarily caused by mutations in the pncA gene. Traditi...
The discovery of therapeutic antibodies is a traditionally arduous process. Today, the lab-based process of antibody discovery consists of several tim...
Proper brain function requires the assembly and function of diverse populations of neurons and glia. Single cell gene expression studies have mostly f...
Histological analysis is a cornerstone of preclinical respiratory disease research, enabling assessment of pathology, therapeutic effects, and mechani...
Cystic fibrosis (CF) alters gut physiology, yet its impact on microbial communities across colonic regions (ascending, transverse, descending colon) a...
Understanding the spatiotemporal dynamics of T-cell clones is a critical challenge in immunology and immunotherapy, with direct implications for cance...
The gut microbiome plays a crucial role in human health, but machine learning applications in this field face significant challenges, including limite...