Latest AI and machine learning research in covid-19 for healthcare professionals.
Gaining structural insights into antibody-antigen interactions is essential for understanding immune recognition and therapeutics design. Accurately modeling these complexes remains challenging for both physics-based approaches and AI-based, co-folding methods such as AlphaFold3. These methods not only struggle to generate near-native conformations, but, more critically, often fail to rank those c...
T-cell bispecific antibodies (TCBs), a specialized subclass of bispecific antibodies (BsAbs), are engineered to simultaneously engage T cells and tumor cells by binding two distinct antigens-or two epitopes on a single antigen-thereby redirecting cytotoxic T lymphocytes to eliminate malignant cells. These agents enhance anti-tumor immunity through dual mechanisms: direct activation of T cell recep...
OBJECTIVES: To develop a nomogram model combining ultrasound radiomics and clinical features and to evaluate its predictive value for pathological inv...
To investigate the influence of O3 on new particle formation (NPF) events and associated changes in PM2.5 chemical composition, an observation campaig...
OBJECTIVE: The aim of this study is to develop disaster specific classification model specific to India, that extracts population emotional states dur...
PURPOSE OF REVIEW: Asthma continues to pose a serious global health issue affecting billions of people and causing significant morbidity. It is immuno...
BACKGROUND: Maintaining cognitive efficiency and independence is a central goal of healthy aging. Socially assistive robots (SARs) are increasingly pr...
Bleeding disorders arising from dysfunctional platelet-protein interactions pose a significant clinical challenge due to their heterogeneity and compl...
Quantum machine learning on noisy intermediate-scale quantum (NISQ) devices often suffers from noise sensitivity, small-data overfitting, and miscalib...
Accurate seismic fault detection is essential for reliable structural interpretation, reservoir characterization, and drilling risk mitigation. Conven...
PURPOSE: To investigate the value of cone-beam computed tomography (CBCT)-based delta radiomics for predicting short-term radiotherapy (RT) response i...
OBJECTIVES: The increasing use of machine learning (ML) in clinical care makes fairness a central issue. Fairness, defined as the absence of dispariti...
Systemic therapies for advanced hepatocellular carcinoma (HCC) have expanded considerably with the advent of tyrosine kinase inhibitors, immune checkp...
Atherosclerosis (AS) is a chronic inflammatory vascular disorder in which endoplasmic reticulum stress (ERS) plays a crucial regulatory role. However,...
Robotic path planning is a fundamental requirement for autonomous navigation, where a robot must reach a target while avoiding obstacles and producing...
Although major advances have been made in the field of mesoscopic imaging and associated tissue clearing protocols, these applications are greatly cha...
Pearl millet is a vital crop in arid and semi-arid regions, but its productivity is significantly impacted by fungal and bacterial diseases. Tradition...
ETHNOPHARMACOLOGICAL RELEVANCE: Taohong Siwu Decoction (TSD), originating from the Qing Dynasty medical text Gynecology Ice Mirror, is a representativ...
Johne's disease (JD) is a chronic wasting disease of ruminants caused by Mycobacterium avium subspecies paratuberculosis (MAP). For decades, JD manage...
BACKGROUND AND OBJECTIVE: Neoadjuvant immune-checkpoint inhibitors (ICIs) in muscle-invasive bladder cancer (MIBC) were tested in patient's ineligible...