Latest AI and machine learning research in pathology for healthcare professionals.
Magnetically driven biofabrication is emerging as a materials-enabled extension of tissue engineering, integrating advances in magnetic nanoparticle (MNP) design with cells, spheroids, and biomaterial scaffolds to engineer responsive and remotely controllable living systems. Progress in nanoparticle engineering has yielded biocompatible and tunable MNP formulations that can be incorporated into hy...
The role of liver biopsy in hepatocellular carcinoma (HCC) is being re-evaluated in the era of precision oncology and biomarker-driven systemic therapy. Although histopathological examination remains the diagnostic gold standard, HCC is unique among solid tumors in that accurate non-invasive imaging criteria allow diagnosis without routine biopsy in selected clinical settings. However, increasing ...
OBJECTIVES: Large language models (LLMs) are increasingly proposed as clinical decision-support tools; however, their agreement with real-world multid...
Lesions with a Prostate Imaging-Reporting and Data System (PI-RADS) score of 4 or greater on multiparametric MRI (mpMRI) indicate a high likelihood of...
Artificial intelligence (AI) is rapidly transforming histopathology, with applications ranging from workflow optimisation and quality assurance to tum...
Pituitary neuroendocrine tumors (PitNETs) are common intracranial neoplasms with heterogeneous hormonal activity, invasiveness, and treatment response...
IMPORTANCE: Pleomorphic dermal sarcomas (PDSs) are classified as sarcomas; however, they share features with cutaneous carcinomas, such as presentatio...
Cancer remains one of the leading global health burdens, with increasing complexity in genomic, imaging, and clinical datasets presenting significant ...
This work sought to improve bioimpedance-based tissue identification model performance on an eight-tissue dataset by employing frequency response func...
Age-related decline in muscle health is commonly defined using cut-offs for strength, muscle quantity or quality, and physical performance. These meas...
In contemporary anatomy and histology education, students increasingly gain access to large image repositories and advanced imaging technologies, yet ...
Artificial intelligence (AI) has rapidly transformed cardiac CT, extending its clinical utility from coronary CT angiography (CCTA) to CT myocardial p...
Aquaculture expansion has exacerbated microplastics (MPs) contamination in aquaculture water bodies. MPs readily adsorb heavy metals and organic pollu...
OBJECTIVE: Intratumoral heterogeneity may limit the representativeness of biopsy-based Ki-67 assessment in breast cancer. We therefore developed and v...
The morphological analysis of peripheral blood cells is increasingly adopting deep learning, mainly for the automatic recognition of the variety of no...
Electrochemical nanobiosensors now produce not only scalar analytical readouts but also voltammetric waveforms, impedance spectra, transistor transfer...
OBJECTIVE: To develop a deep learning model for predicting histotripsy focal shifts in the liver caused by acoustic aberrations for real-time treatmen...
OBJECTIVE: This study aimed to develop and validate a deep learning framework to classify chronic venous insufficiency - related skin lesions and diff...
RATIONALE AND OBJECTIVES: Pituitary neuroendocrine tumors (PitNETs) exhibit diverse biological behavior requiring accurate subtyping to guide treatmen...
Ovarian cancer remains the most lethal gynaecological malignancy, largely due to late-stage diagnosis and the limited sensitivity of CA-125 for border...