Latest AI and machine learning research in lymphoma for healthcare professionals.
The immune system is an intricately evolved series of cellular and protein-protein interactions, whi...
The canonical vocabulary of twenty amino acids limits the chemical space available to proteins and p...
Post-mortem diffusion MRI plays a key role in investigative pipelines to characterise tissue microst...
Helicobacter pylori is a significant risk factor for gastric cancer, peptic ulcers, and MALT lymphom...
Alzheimer’s disease and related dementias (ADRD) involve overlapping neurodegenerative and vascular ...
Cell viability assays are essential tools in biomedical research and drug development. Artificial in...
This study presents a novel method for authenticating the geographical origin and cultivar of kava (...
Module discovery in omics networks is central to interpretation. Classical pipelines capture broad c...
Circulating blood cell clusters (CCCs) containing red blood cells (RBCs), white blood cells (WBCs), ...
Interactions of long non-coding RNAs (lncRNAs) with proteins is responsible for numerous cellular pr...
Encoding models based on word embeddings or artificial neural network (ANN) features reliably predic...
Recent advances in high-throughput single-cell technologies have enabled characterization of cellula...
Foundation models (FMs) show promise in medical AI by learning flexible features from large datasets...
Body composition metrics such as visceral fat volume, subcutaneous fat volume and skeletal muscle vo...
Lung cancer is the leading cause of cancer-related deaths. Diagnosis at late stages is common due to...
Several conditions exist that do not have their own unique diagnosis code in widely-used clinical te...
Digital pathology has significantly advanced cancer diagnosis by enabling high-resolution visualisat...
While associations of antibiotic resistance traits are not random in multidrug-resistant (MDR) bacte...
The increasing availability of whole-genome sequencing (WGS) has begun to elucidate the contribution...
Despite CBT’s status as a first-line treatment, a substantial proportion of patients does not experi...
Evaluate the predictive efficacy of six machine learning (ML) algorithms in identifying peritoneal m...