Latest AI and machine learning research in transplantation for healthcare professionals.
Sensors play a vital role in modern production and daily life, where high sensitivity, selectivity, and device integration are increasingly required. Metal-organic frameworks (MOFs) have emerged as highly promising materials for sensing applications owing to their high porosity, structural diversity, tunable pore architectures, and tailorable host-guest interactions. However, the practical deploym...
Employee turnover prediction is a critical challenge in human resource management. Existing studies emphasise predictive accuracy but generally treat interpretability as an afterthought, and applications of SHapley Additive exPlanations (SHAP) in this domain typically stop at single-level feature importance without reporting threshold calibration, subgroup fairness, or external validation. This st...
BACKGROUND: As coronavirus disease 2019 (COVID-19) has transitioned into an endemic phase characterized by sustained transmission and widespread hybri...
BACKGROUND: Neoantigens-tumor-specific peptides generated by somatic mutations-are central targets of effective anticancer T cell immunity and underpi...
BACKGROUND: Integrating machine learning (ML) with population pharmacokinetic (PPK) modeling may improve therapeutic drug monitoring predictions. METH...
Organic materials have been widely recognized as highly promising candidates for two-photon absorption (TPA) applications owing to their strong optica...
Tumor vasculature has traditionally been viewed as structurally and functionally abnormal and, therefore, is primarily targeted for inhibition. Howeve...
Organoid-AI platforms are becoming decision systems in drug discovery, not just combined tools. They shape compound prioritisation, toxicity assessmen...
OBJECTIVE: To develop and evaluate deep learning models for upper abdominal ultrasound standard section recognition and downstream multi-organ segment...
BACKGROUND: Reproducibility and cross-species translation using the domestic pig (Sus scrofa) are limited by the lack of a standardised molecular fram...
The poor prognosis of high‑grade gliomas, such as glioblastoma, is largely driven by a notably immunosuppressive tumor microenvironment (TME), wherein...
Predicting the electronic properties of transition metal complexes (TMCs) from 2D molecular graphs remains challenging; organic-trained property model...
BACKGROUND: Organ recovery for transplantation costs approximately $40,000 per donor, yet nearly 20% of recovered kidneys ultimately go unused. Static...
Cheminformatic analysis has been an active field for almost half a century, with considerable innovation accelerating drug discovery. However, the req...
BACKGROUND: Informal caregivers of people living with dementia often experience high rates of caregiver burnout while providing care. Although there a...
Emerging evidence indicates that aberrant cholesterol metabolism in macrophages plays a role in tumorigenesis, however, how specific metabolites relea...
Computational protein design using machine learning models has advanced rapidly since the introduction of AlphaFold2. There is now a suite of tools th...
Oncolytic viruses (OVs) represent a versatile platform for cancer immunotherapy, capable of selectively infecting and lysing tumor cells while trigger...
Mild traumatic brain injury (mTBI) frequently prompts computed tomography (CT) imaging in emergency departments, despite a high proportion of negative...
Achieving noninvasive high-frequency monitoring of ischemic stroke (IS) remains a major clinical challenge for timely intervention and precise seconda...