Latest AI and machine learning research in other cancers for healthcare professionals.
PURPOSE: Antibody-drug conjugates (ADC) targeting trophoblast cell surface antigen 2 (TROP-2) and cM...
UNLABELLED: Pancreatic ductal adenocarcinoma (PDAC) evolves through precursors, yet the protein prog...
Clusmann and colleagues developed PRE-Screen-HCC, an interpretable machine learning framework that l...
PURPOSE: Joint space narrowing (JSN) in rheumatoid arthritis (RA) can progress even during clinical ...
Oral leukoplakia (OLK) is the most common oral potentially malignant disorder and carries a lifetime...
BACKGROUND AND PURPOSE: Image preprocessing is an essential, though often overlooked, part of machin...
Neuropilin-1 (NRP1) is a key mediator of tumor metastasis and progression by controlling cancer cell...
This single-center retrospective study developed and internally validated a two-dimensional deep lea...
We present a retrospective dataset of contrast-enhanced T1-weighted magnetic resonance imaging scans...
OBJECTIVES: This study proposes a deep convolutional neural network model that integrates B-mode and...
BACKGROUND: Ribosome biogenesis is involved in the progression of hepatocellular carcinoma (HCC), bu...
A complete human sleep consists of multiple states, each of which has its own unique and typical cha...
Mucosal melanoma (MM) is a rare and lethal subtype of melanoma, disproportionately affecting Asian p...
BACKGROUND: Accurate segmentation of brain metastases (BM) is essential for diagnosis, stereotactic ...
BACKGROUND: Bladder cancer is a common and highly recurrent malignancy requiring lifelong surveillan...
Nasopharyngeal carcinoma (NPC) is a prevalent malignancy with a distinct geographical distribution. ...
BACKGROUND: Inverse planning is often used for Gamma Knife radiosurgery, allowing clinicians to math...
The increasing global burden of cancer necessitates innovative therapeutic strategies. Cell therapy ...
Myeloid cells-including macrophages, monocytes, neutrophils and dendritic cells-are metabolically pl...
Multimodal artificial intelligence (AI) approaches integrating heterogeneous data sources represent ...
Despite rapid advances in multi-omics technologies, translating candidate biomarkers into clinical p...