Latest AI and machine learning research in pathology for healthcare professionals.
MRI-derived organ and tissue volumes are powerful endophenotypes for studying complex disease, but t...
With the rise of digital pathology, integrating digital slides with deep learning–based decision sup...
Clinically manifested pneumonia associated with COVID-19 infection in cancer patients has been assoc...
There have been many promising developments in deep learning to identify degrees of malignancies in ...
Glioblastoma is a highly malignant brain tumor in which maximal safe resection is associated with im...
Biological aging remains a central focus of research, from the scale of sub-cellular processes to wh...
Replication timing is a costly but powerful tool for characterizing cellular mechanisms that underli...
Can self-supervised speech foundation models (SFMs) be used for automatic patient metadata extractio...
Diffuse myocardial fibrosis contributes to adverse remodeling and heart failure progression in non-i...
Precision oncology has informed cancer care by enabling the discovery and application of diagnostic,...
Large language models (LLMs) are evolving into diagnostic co-pilots, yet current benchmarks fail to ...
Homologous recombination deficiency (HRD) confers sensitivity to poly (ADP-ribose) polymerase (PARP)...
Intratumour heterogeneity (ITH) drives the clinical trajectory of HCC, yet routine pathology relies ...
Ductal carcinoma in situ (DCIS) is a non-invasive breast cancer spanning a biologic continuum from a...
Despite their profound impact on patients’ lives, most rare and intractable diseases still lack esta...
Large Language Models (LLMs) have demonstrated impressive capabilities in medical knowledge tasks, a...
Amyotrophic Lateral Sclerosis (ALS) is a degenerative disease of motor neurons that leads to muscle ...
Computational pathology increasingly relies on foundation models pre-trained on large-scale histopat...
Erythrocyte indices are essential for the diagnosis and monitoring of hematologic diseases, but thei...
We present a new method for lung pathology detection in blood plasma, including lung cancer staging....
Sampling techniques have poor accuracy for classifying biliary strictures as benign or malignant. Pr...