Oncology/Hematology

Integrated machine learning risk model for predicting radiation pneumonitis in lung cancer patients with interstitial lung disease.

BACKGROUND: Radiation pneumonitis (RP) is a serious complication in lung cancer patients with pre-existing interstitial lung disease (ILD) undergoing radiotherapy. Accurate risk stratification is crucial for individualized management. But predictive models integrating multimodal data are lacking. This study aimed to develop a novel machine learning-based nomogram integrating clinical, dosimetric, ...

Computational hybrid framework integrating clinical-mutation profiling and physics-based simulations to predict structural tolerance of Bruton tyrosine kinase (BTK) and sustained ARQ 531 binding.

Bruton tyrosine kinase (BTK) is a non-receptor tyrosine kinase crucial for relaying signals from the B cell antigen receptor (BCR) in cancerous B lymphocytes. It has been reported that mutations in this protein cause resistance to various covalent and non-covalent drugs. Therefore, we employed a computational genomic mutation screening strategy, combined with molecular simulation, to assess the im...

Thermal signatures in breast cancer: Deciphering latent biomarkers through deep learning and explainable AI.

Breast cancer, characterized by its aggressive pro-gression and high mortality rates, continues to be among the most common types of cancer. While ear...

Artificial Intelligence Applications for Automated Data Extraction and Secondary Use of Clinical Information in Uro-oncology: A Systematic Review.

BACKGROUND AND OBJECTIVE: Manual data extraction is a major bottleneck in uro-oncology, limiting research and quality assurance. Although artificial i...

Computer-Aided Detection-Assisted Colonoscopy Teaches Gaze to Improve Adenoma Detection in First-Year Gastroenterology Fellows.

BACKGROUND AND AIMS: The impact of computer-aided detection (CADe)-assisted colonoscopy on gastroenterology fellow trainees remains incompletely defin...

Deep learning assisted cell electrical signal analysis in impedance cytometry.

In this study, we developed BioFluxNet, a 1D CNN-based algorithm for automated analysis of raw electrical signals in impedance cytometry to directly c...

Harnessing Hitchhikers: Outer Membrane Vesicles Leading the Way in Advanced Cancer Therapeutics and Diagnostic- A Review.

Cancer therapy is increasingly shaped by delivery platforms designed to overcome the limitations of conventional chemotherapy and radiotherapy. Among ...

Deep Learning-Enhanced Biomarker Interpretation on Cytology Cell Blocks - Foundations and Emerging Opportunities in Spatial Pathobiology.

Cytology cell block specimens are essential diagnostic materials in patients with advanced-stage malignancy and often represent the only available sub...

Synergizing Artificial Intelligence with In Vivo CAR-T Cell Generation: A New Paradigm for Democratized Immunotherapy.

In vivo CAR-T cell generation represents a paradigm shift in immunotherapy by transitioning the production of chimeric antigen receptor (CAR) T cells ...

Unlocking the Role of Exosomal ncRNAs in Colorectal Cancer: Molecular Insights and Clinical Promise.

Colorectal cancer (CRC) continues to be a substantial cause of cancer-related fatality globally, necessitating improved diagnostic and therapeutic str...

Signature-aware deep learning reveals distinct driver gene programs and mutational processes in glioblastoma and colon adenocarcinoma.

The precise identification of cancer driver mutations is essential for precision oncology; however, it remains a significant challenge because of the ...

CXCL9 as a key feature for deep learning-based immune subtyping and prediction of immune checkpoint blockade response in triple-negative breast cancer.

BACKGROUND: Immune checkpoint blockade (ICB) therapy has provided a promising treatment option for patients with triple-negative breast cancer (TNBC)....

Current Status and Future Perspective for Bladder Cancer MR Imaging and the Vesical Imaging-Reporting and Data System (VI-RADS) in Japan: Challenges and Solutions.

Bladder cancer carries one of the highest lifetime costs among malignancies, and accurate distinction between non-muscle-invasive and muscle-invasive ...

CystoDS: a multiclass endoscopy image dataset for artificial intelligence-assisted bladder cancer detection.

Cystoscopy is a common endoscopic procedure used for the visual inspection of the lower urinary tract, particularly for the detection and surveillance...

Radiopharmaceuticals: Status, Regulatory Landscape and Future Perspective.

Radiopharmaceuticals are biologically active molecules labeled with radionuclides that have advanced the possibility of the nuclear medicine. They sup...

Unveiling the TP5 dual binding mechanism and structure-based search for potential dual inhibitors of tubulin and PD-L1.

The dual inhibition of microtubule dynamics and immune checkpoint signaling represents a promising strategy in cancer therapy by simultaneously disrup...

Evaluating deep learning models for pancreatic cancer diagnosis.

Pancreatic cancer is a highly aggressive and often fatal disease, with early detection being a key factor for improving patient survival. Recent advan...

Research progress of machine learning applications in gastric cancer diagnosis and therapy.

Gastric cancer (GC), a malignant neoplasm originating from the gastric mucosal epithelium, represents one of the most prevalent cancers worldwide. Ear...

Identification of Gene Signatures Differentiating Cancer from Normal Tissues Across Histological Classifications of Gastric Adenocarcinoma via Machine Learning Methods.

Gastric adenocarcinoma is a significant global health concern. Among the myriad histologic classification methods for this cancer, the Lauren classifi...

Deep learning-assisted tumor radiomic dynamics on MRI predict pathological complete response in HCC undergoing immune-based therapy followed by hepatectomy.

BACKGROUND AIMS: Pathological complete response (pCR) following conversion therapy for initially unresectable hepatocellular carcinoma (uHCC) remains ...