Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Mycotoxins are potent triggers of hepatocellular carcinoma (HCC) due to their intricate interplay with cellular macromolecules and signaling pathways. This study integrates machine learning and biomolecular analyses to elucidate the mechanisms underlying mycotoxin-induced hepatocarcinogenesis. Using a data set of 1767 mycotoxins and 1706 non-mycotoxin fungal metabolites, we evaluated 51 machine le...
The lack of high-throughput, label-free, and intelligent recognition models for assessing cell death hinders the broad application of cell death analysis in chemotherapy for lung cancer. We propose an intelligent quantitative detection technique for cell deaths. Using high-throughput quantitative phase imaging flow cytometry to capture numerous label-free images and employing convolutional neural ...
Interpretability of results remains challenging in most health industries since patients may suffer life-threatening consequences from an inaccurate d...
OBJECTIVE: This study aims to investigate the molecular mechanisms underlying hepatocellular carcinoma (HCC) induced by Aflatoxin B1 (AFB1).
Ovarian cancer remains one of the most challenging cancers to diagnose due to its non-specific symptoms, lack of reliable screening tests, and the com...
Gastric cancer (GC) remains a significant clinical challenge due to its frequent late-stage diagnosis and limited treatment stratification. Telomere m...
BACKGROUND: Deep learning (DL) models are effective pre-screening tools for detecting mismatch repair deficiency (dMMR) in colorectal carcinoma (CRC)....
BACKGROUND: The heterogeneous and aggressive nature of diffuse large B-cell lymphoma (DLBCL) presents significant treatment challenges as up to 50% of...
Circulating tumor DNA is a critical biomarker in cancer diagnostics, but its accurate interpretation requires careful consideration of clonal hematopo...
Prostate cancer is the most prevalent solid tumor in males and one of the most common causes of male mortality. It is the most common type of cancer i...
Wnt signaling is important in embryonic development and tumorigenesis. These biological effects can be exerted by the activation of the β-catenin-depe...
BACKGROUND: Pyroptosis is a form of programmed cell death characterized by inflammasome activation and the release of inflammatory cytokines, which in...
Barrett's esophagus is a premalignant precursor lesion of esophageal adenocarcinoma that affects approximately 1% of the population worldwide. Esophag...
Coronary CT angiography (CCTA) has seen steady progress since its inception, becoming a key player in the non-invasive assessment of coronary artery d...
The increased workload in pathology laboratories today means automated tools such as artificial intelligence models can be useful, helping pathologist...
Hepatocellular carcinoma remains one of the leading contributors to global cancer mortality, frequently stemming from chronic liver conditions, such a...
Glioblastoma (GBM) presents significant therapeutic challenges due to its invasive nature and resistance to standard chemotherapy, i.e., temozolomide ...
: This study aimed to investigate whether small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC) can be distinguished based on radiomics...
Digital twin (DT) technology, integrated with artificial intelligence (AI) and machine learning (ML), holds significant potential to transform oncolo...
A universal strategy to precisely control protein activation in living animals is crucial for gain-of-function study of proteins under in vivo setting...