Oncology/Hematology

Noninvasive Staging of Hepatic Fibrosis in Patients with Autoimmune Liver Disease Using Deep Learning.

RATIONALE AND OBJECTIVES: Accurate staging of hepatic fibrosis is essential for guiding immunosuppressive and antifibrotic therapies. However, percutaneous liver biopsy, the current reference standard, remains invasive and is subject to sampling errors and interobserver variability. To address these limitations, we developed and validated a noninvasive deep learning model using routine two-dimensi...

Omics medicine: what the clinicians should know.

Omics technologies analyze comprehensive molecular datasets, enabling the detailed characterization of pathological processes. Genomic, transcriptomic, proteomic, and metabolomic approaches, as well as emerging single-cell and spatial omics, enhance biomarker discovery, early diagnosis, patient stratification, therapy selection, and prognosis. Multi-omics integration, combined with artificial inte...

Bridging the Gap: A Scoping Review of Clinical Decision Support Systems in End-of-Life Care for Older Adults.

BACKGROUND: Clinical decision support (CDS) systems have been widely adopted in health care to enhance decision making, but opportunities to refine th...

epiGPTope: A Machine Learning-Based Epitope Generator and Classifier.

Epitopes are short antigenic peptide sequences that are recognized by antibodies or immune cell receptors. These are central to the development of imm...

Commercially Available Artificial Intelligence Score on Preoperative Mammography for Prediction of Future Breast Cancer After DCIS Treatment.

Background: Mammographic artificial intelligence (AI) systems have been explored for future breast cancer risk prediction. Objective: To investigate a...

Multi-omics characterization of benzo[a]pyrene toxicity networks identifies SERPINE1 and STK3 as prognostic biomarkers and therapeutic targets in head and neck squamous cell carcinoma.

Benzo[a]pyrene (BaP), a ubiquitous environmental carcinogen predominantly found in tobacco smoke and air pollution, plays a pivotal role in head and n...

Establishment of insulin resistance-related ten-gene signature in endometrial cancer and identification of ACTL8 as a prognostic and immunological biomarker.

BACKGROUND: Endometrial cancer (EC) is a common gynecological tumor. Insulin resistance (IR) increases the risk of EC. However, the common molecular b...

Development and Validation of a Computational Histology Artificial Intelligence-Powered Predictive Biomarker for Selection of Chemotherapy in Advanced Pancreatic Cancer.

PURPOSE: Predictive biomarkers to guide selection of first-line chemotherapy for advanced pancreatic ductal adenocarcinoma (PDAC) are an unmet clinica...

Selective multimodal deep learning for reliable breast cancer subtype classification from histopathology and genomic data.

Accurate classification of breast cancer subtypes is critical for personalized treatment planning and prognostic assessment. While histopathology ...

Advancing prussian blue nanoparticle-mediated photothermal therapy through machine learning and multiomics integration.

Prussian blue nanoparticles (PBNPs) are a versatile platform for administering photothermal therapy (PTT) in cancer therapy applications. PBNPs combin...

Multi-modal AI for opportunistic screening, staging and progression risk stratification of steatotic liver disease.

The global rise in steatotic liver disease poses a significant public health challenge. While non-contrast computed tomography scans hold promise for ...

Preoperative lymphocyte signature predicts pancreatic fistula after pancreatoduodenectomy.

BACKGROUND: Postoperative pancreatic fistula (POPF) is the major driver of postoperative morbidity after pancreatoduodenectomy (PD) and a healthcare i...

HMI-LUSC: A Histological Hyperspectral Imaging Dataset for Lung Squamous Cell Carcinoma.

Hyperspectral imaging (HSI) is a three-dimensional imaging technique that integrates spectroscopy and imaging. When combined with microscopy, hyperspe...

Exploring the toxicological mechanisms of Benzo[a]anthracene (BaA) exposure in lung adenocarcinoma (LUAD) via network toxicology, machine learning, and multi-dimensional bioinformatics analysis.

BACKGROUND: Lung adenocarcinoma (LUAD) is a major lung cancer subtype influenced by environmental factors. Benzo[a]anthracene (BaA), a common Group 2B...

Dynamic prediction of early discharge after major pancreatic surgery: Derivation and cross-validation of an automatable electronic medical record-based model.

BACKGROUND: Length of hospital admission after major oncologic surgery is often highly variable. Although in carefully selected patients, early discha...

Efficacy of artificial intelligence-assisted upper gastrointestinal endoscopy for neoplasm detection: a systematic review and meta-analysis of randomized controlled trials.

BACKGROUND AND AIMS: EGD remains the primary diagnostic modality for evaluating lesions of the upper gastrointestinal (UGI) tract. This meta-analysis ...

Artificial intelligence in biomaterials for oral oncology.

Oral cancer and oral potentially malignant disorders (OPMDs) remain a significant challenge in diagnosis and therapy, primarily due to inherent limita...

Multimodal machine learning models for predicting remission in major depressive disorder using clinical data, blood biomarkers, and DNA methylation.

Major depressive disorder (MDD) is a leading global health burden, yet only one-third of patients achieve remission with initial antidepressant therap...

Detection of esophageal varices and prediction of hepatic decompensation in unresectable hepatocellular carcinoma using AI.

BACKGROUND & AIMS: In hepatocellular carcinoma (HCC) with cirrhosis, portal hypertension worsens outcomes. Esophagogastroduodenoscopy (EGD), the curre...

St. Gallen International Breast Cancer Consensus-Based Clinical Decision Validation: Concordance Assessment Between Deep Large Language Model Outputs and Global Expert Panel Recommendations.

BACKGROUND: The newly developed large language model (LLM) DeepSeek has shown potential for application in other medical fields. However, few systemat...