BACKGROUND: Machine-learning (ML) driven molecular diagnostics based on omics data has a potential to revolutionize personalized medicine. However, implementation of ML into diagnostic protocols is hindered by methodological challenges which often le... read more
CYP450 (cytochrome P450)-mediated drug metabolism is a critical determinant of pharmacokinetics and clinical safety, making comprehensive metabolic profiling essential for rational drug discovery. Here, we present DeepCYP (https://deepcyp.scbdd.com),... read more
Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
May 19, 2026
Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While significant progress has been achieved in the development of immune checkpoint inhibitors,chimeric antigen ... read more
ObjectiveThis study proposes Relative Advantage Theory to explain decision-making mechanisms in emergencies where humans collaborate with AI systems, and provides initial empirical evidence consistent with its core assumptions.BackgroundWhile artific... read more
Journal of chemical information and modeling
May 19, 2026
Artificial Intelligence (AI) has become a cornerstone of modern drug discovery. Yet, its widespread adoption is often hindered by the steep learning curve of command-line tools and the prevalence of overfitting due to improper data splitting. Here, w... read more
Accurate antibody structural modeling is essential for therapeutic antibody development. However, even advanced artificial intelligence models such as AlphaFold2/3 struggle to precisely predict antibody structures due to the high flexibility of the c... read more
Nutrition & dietetics : the journal of the Dietitians Association of Australia
May 19, 2026
AIMS: Trust plays a critical role in the decision-making and responsible use of artificial intelligence within professional contexts in health science. This study aimed to develop and validate a novel scale to assess dietitians' perceived trust in di... read more
AIMS: This study aims to develop and internally validate an AI approach based on a deep learning (DL) algorithm to classify wound photographs as either 'healing well' or 'requiring review' after a total knee arthroplasty (TKA). METHODS: A prospective... read more
Biomedical imaging is increasingly defined by a paradox: advances in microscopy now enable the routine generation of extraordinarily rich, high-dimensional datasets, yet the extraction of reproducible, biologically meaningful insight from those data ... read more
Chronic wasting disease (CWD) and scrapie are transmissible spongiform encephalopathy diseases caused by prions, infectious forms of the prion protein. Currently, immunohistochemistry (IHC) is the sole approved diagnostic method for confirming these ... read more
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