Oncology/Hematology

Counterfactual AI for Dynamic Dose Optimization with Side-Effect Constraints.

We present DoseAI, an online-updateable causal Artificial Intelligence (AI) framework for outcome prediction and dynamic dose optimization in continuous time. DoseAI models patient-specific disease dynamics using a Neural Controlled Differential Equation (Neural CDE) encoder-decoder architecture and enables counterfactual prediction under continuous treatment trajectories. A central challenge in t...

Trends and Hot Spots in Cancer Family Resilience: A Bibliometric and Visualization Study.

PROBLEM IDENTIFICATION: Cancer family resilience has become an important interdisciplinary focus in oncology, nursing, and psychosocial care. However, global development patterns, key contributors, and emerging trends have not been systematically examined. LITERATURE SEARCH: A bibliometric analysis of publications related to cancer, family, and resilience indexed in the Web of Science Core Collect...

Advances in the management of pediatric low-grade glioma.

Pediatric low-grade gliomas (pLGGs), the most common CNS tumors in children, are increasingly recognized as chronic diseases with prolonged courses an...

Artificial intelligence in endoscopic prediction of submucosal invasion in gastric neoplasms: systematic review and meta-analysis.

BACKGROUND: Accurate assessment of Submucosal (SM) invasion in gastric neoplasms is vital for curative endoscopic management, yet conventional endosco...

Meta-analysis reveals microbiome signatures for colorectal cancer that are universal across age groups and sequencing methods.

Numerous studies have linked gut microbiome alterations to colorectal cancer (CRC), but limited sample sizes and study heterogeneity have hampered cro...

Stochastic Expansion of Radionuclide Inhalation Dosimetry for Consequence Management Application: Uncertainty and Sensitivity Analysis in the ICRP 130 Human Respiratory Tract Model.

Releases from nuclear or radiological security events can result in significant internal radiation contamination through inhalation of particulate con...

Annexin A2 as a Therapeutic Target of Artemisiae Scopariae Herba-derived Quercetin in Preventing Malignant Progression from Primary Sclerosing Cholangitis to Cholangiocarcinoma: An Integrative Study.

ETHNOPHARMACOLOGICAL RELEVANCE: Artemisiae Scopariae Herba (ASH) is traditionally used to treat cholestatic liver diseases and exhibits anti-tumour po...

Molecular characteristics and modifications of glioblastoma affecting the efficacy of immunotherapy.

Glioblastoma is a highly aggressive brain tumor characterized by complex genetic, molecular, and epigenetic features that present significant challeng...

Quantitative Impact of T1 Subtraction Maps on Enhancing Component Delineation and Measured Volumes in Minimally Enhancing Pediatric Brain Tumors.

BACKGROUND AND PURPOSE: The delineation of contrast enhancement in pediatric brain tumors is crucial for effective surgical and treatment planning, as...

Artificial intelligence-guided analysis of the tumor microenvironment predicts response to pembrolizumab in rare tumors.

BACKGROUND: Pathologic tumor response and changes in the tumor microenvironment (TME) predict outcomes to immune checkpoint inhibitors, but are unders...

An immunological panacea for cancer-related cachexia.

Cancer cachexia, responsible for up to 30% of cancer deaths, has transitioned conceptually from a mere nutritional deficit into a highly coordinated, ...

Interpretable machine learning for preoperative prediction of ground-glass nodules invasiveness in lung adenocarcinoma: a multicenter study.

Accurate, noninvasive prediction of invasiveness in ground-glass nodules (GGNs) is important for surgical planning in lung adenocarcinoma. This multic...

Efficacy and safety of multiple treatments for small hepatocellular carcinoma: an updated systematic review and component network meta analysis.

BACKGROUND: This is an updated component network meta-analysis to evaluate efficacy and safety of various therapeutic approaches and their combination...

Generative Artificial Intelligence and Large Language Models in Clinical Oncology.

Cancer remains a major global health challenge, and the increasing availability of multimodal biomedical data has created unprecedented opportunities ...

Using machine learning algorithms based on laboratory indicators to establish a diagnostic model for lung cancer.

BACKGROUND: Lung cancer remains one of the leading causes of cancer-related mortality worldwide. Current diagnostic strategies rely primarily on imagi...

Single-model deep learning approach for simultaneous cervical vertebral maturation staging and skeletal jaw relationship on lateral cephalograms using YOLOv8 and CNN.

BACKGROUND: This study aimed to develop an integrated artificial intelligence (AI) pipeline for cervical vertebral maturation (CVM) staging and skelet...

Multi-omics integration and clinical validation identify CKAP2 as a diagnostic biomarker for bladder cancer.

BACKGROUND: Bladder cancer (BC) remains a prevalent malignancy with a high recurrence rate; however, the lack of specific biomarkers hinders early det...

Genetically engineered outer membrane vesicles as next-generation bionanomaterials for therapeutic and diagnostic applications.

Outer membrane vesicles (OMVs), naturally released by Gram-negative bacteria, represent a unique class of bionanomaterials with inherent immunogenicit...

Tumor-naïve ctDNA detection with deep learning-enhanced error suppression for sensitive mutation calling.

BACKGROUND: Circulating tumor DNA (ctDNA) detection offers minimally invasive monitoring of cancer from blood samples. While tumor-informed approaches...

Quantitative Detection of Entotic Cell-In-Cell Structures Using Deformable Segmentation and Deep Learning.

Cell-in-cell (CIC) structures are among the most intriguing cellular phenomena occasionally observed in human cancer specimens. Once regarded as incid...