Combining T cell receptor sequencing and transcriptomics to characterize tissue-resident T cells from human gut biopsies.

Gastrointestinal T cells (GI-T) play a critical role in mucosal immunity, balancing tolerance and pathogen defence. T cells recognize antigens via T cell receptors (TCRs). Next-generation sequencing (NGS) is utilized to analyse TCR repertoires in contexts such as health, haematological diseases, autoimmunity, and inflammation.

Host Index and Gallbladder Cancer: An Emerging Prognostic Biomarker.

Background And Objectives: There is emerging evidence that host related variables predict outcomes in various cancers. The Host index (H-index) incorporates various host-related, blood-derived biomarkers (immunological and nutritional parameters) as a single mathematical formula. The aim of this study was to evaluate outcomes using the H-index as a prognostic marker in gallbladder cancer (GBC) patients undergoing curative resection.

ToxinPredictor: Computational models to predict the toxicity of molecules.

Predicting the toxicity of molecules is essential in fields like drug discovery, environmental protection, and industrial chemical management. While traditional experimental methods are time-consuming and costly, computational models offer an efficient alternative. In this study, we introduce ToxinPredictor, a machine learning-based model to predict the toxicity of small molecules using their structural properties.

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments.

Background: Longitudinal tracking of multiple sclerosis (MS) symptoms in an individual's own environment may improve self-monitoring and clinical management for people with MS (pwMS).

Objective: We present a machine learning approach that enables longitudinal monitoring of clinically relevant patient-reported symptoms for pwMS by harnessing passively collected data from sensors in smartphones and fitness trackers.

Methods: We divide the collected data into discrete periods for each patient.