Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Min, Schweizer, and colleagues use artificial intelligence-powered deep visual proteomics to generate a spatial proteomic atlas of pancreatic cancer precursor evolution, revealing that major metabolic and inflammatory reprogramming occurs long before overt histologic transformation. More broadly, the study highlights the emerging potential of spatial proteomics and multiomics to bridge histopathol...
Clusmann and colleagues developed PRE-Screen-HCC, an interpretable machine learning framework that leverages multimodal clinical data from 2 population-scale cohorts to stratify hepatocellular carcinoma risk, significantly outperforming existing risk scores and demonstrating robustness across diverse ethnic subgroups. See related article by Clusmann et al., p. 1304.
BACKGROUND: Prognostic assessment in critically ill cancer patients is challenging due to the suboptimal performance of traditional severity scores. W...
PURPOSE OF REVIEW: Cardio-oncology has emerged as a pivotal discipline aimed at preserving cardiovascular health in patients undergoing contemporary c...
PURPOSE: Joint space narrowing (JSN) in rheumatoid arthritis (RA) can progress even during clinical remission. Conventional imaging lacks sensitivity ...
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal cancers, with survival rates influenced by a variety of factors, including earl...
BACKGROUND: Cervical cancer is the fourth most common cancer whose incidence was significantly reduced with the help of Pap smear and organized cervic...
Modern cancer therapies have improved survival but unmasked the growing challenge of cancer therapy-related cardiotoxicity, a leading cause of morbidi...
Oral leukoplakia (OLK) is the most common oral potentially malignant disorder and carries a lifetime risk of transformation to oral squamous cell carc...
INTRODUCTION: Computed tomography (CT) is indispensable for the rapid evaluation of paediatric chest and abdominal pathology, yet it delivers relative...
BACKGROUND AND PURPOSE: Image preprocessing is an essential, though often overlooked, part of machine learning, and it is unclear how preprocessing te...
Neuropilin-1 (NRP1) is a key mediator of tumor metastasis and progression by controlling cancer cell migration, angiogenesis, and tumor immune respons...
This single-center retrospective study developed and internally validated a two-dimensional deep learning model based on cone-beam computed tomography...
Somatic variant discovery in tumors is crucial for clinical analysis, yet most existing methods are designed for short-read sequencing, with few devel...
We present a retrospective dataset of contrast-enhanced T1-weighted magnetic resonance imaging scans from 140 patients with brain metastases who under...
BACKGROUND: Manual segmentation of prostate cancer metastases on PSMA PET/CT and SPECT/CT is time-consuming and poorly scalable, particularly in highl...
OBJECTIVES: This study proposes a deep convolutional neural network model that integrates B-mode and D-mode ultrasound images to classify metastatic l...
BACKGROUND: Ribosome biogenesis is involved in the progression of hepatocellular carcinoma (HCC), but the specific mechanisms and diagnostic values of...
A complete human sleep consists of multiple states, each of which has its own unique and typical characteristics. A clear definition of these states l...
Mucosal melanoma (MM) is a rare and lethal subtype of melanoma, disproportionately affecting Asian populations and exhibiting distinct clinicopatholog...