Oncology/Hematology

Bridging scales in cancer progression: mapping genotype to phenotype using neural networks.

In this review we summarise our recent efforts in trying to understand the role of heterogeneity in cancer progression by using neural networks to characterise different aspects of the mapping from a cancer cells genotype and environment to its phenotype. Our central premise is that cancer is an evolving system subject to mutation and selection, and the primary conduit for these processes to occur...

Functional outcomes after TORS for oropharyngeal cancer: a systematic review.

Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for oropharyngeal cancer (OPC). A systematic review was conducted. The MEDLINE database was searched (MeSH terms: TORS, pharyngeal neoplasms, oropharyngeal neoplasms). Peer-reviewed human subject papers published through December 2013 were included. Exclusion criteria were as follows: (1) case report design (n ...

Outcome of transoral robotic surgery for stage I-II oropharyngeal cancer.

Traditionally T1-2N0 oropharyngeal carcinoma is treated with a single treatment modality, being either radiotherapy or surgery. Currently, minimally i...

Variantscape: Large Language Model-Driven Mining of Biomedical Literature for Clinical Interpretation of Cancer Variants

Background: Precision oncology relies on accurate interpretation of tumour-detected gene variants, to guide personalized treatment decisions. However,...

SWINSleepNet: A Hierarchical Context-Aware Framework for Sleep Staging (v2)

Automatic sleep staging is a critical role in sleep disorder diagnosis, sleep quality assessment, and long-term health monitoring; however, existing a...

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks

Automated sleep staging assigns discrete stage labels to successive time epochs throughout an overnight recording; conventionally each window spans at...

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer

Pathology foundation models (PFMs) provide strong tissue representations and have become central to digital pathology. However, deployment in disease-...

Clinical characteristics and associated factors of de novo and recurrent prostate cancer after kidney transplantation

Kidney transplant recipients experience a higher burden of several malignancies, yet the factors associated with prostate cancer presentation after tr...

Endpoint-aligned artificial intelligence for biopsy-sparing assessment of suspected basal cell carcinoma

Basal cell carcinoma (BCC) care follows a sequence of decisions from triage to pathological subtyping and depth assessment, and the information availa...

Exploratory Network Analysis of Oral Bacteria Taste Signaling Autophagy Crosstalk in Oral Squamous Cell Carcinoma and Multi-Target Ligand Design for the MAPK1 STAT3 mTOR Axis

G protein-coupled receptor (GPCR) signaling represents a critical interface between oral bacteria and host cellular regulation in oral squamous cell c...

Systematic modeling of phenotypic drug response profiles inpatient-derived organoids

Patient-derived tumor organoids provide a physiologically relevant 3D disease model for preclinical drug discovery, surpassing the limitations of conv...

A Unified Benchmark of Deep Learning Models for Multi-task 3D Brain Tumor Segmentation from Magnetic Resonance Imaging

Automatic brain tumor segmentation from magnetic resonance imaging (MRI) has become a fundamental task in computer-assisted diagnosis, treatment plann...

An Evaluation of DMR Informed Fine-Tuning of Tissue Array Pretrained CpGPT for Gastrointestinal Cancer Classification Using cfDNA Targeted Methylation

Background Cell free DNA (cfDNA) methylation profiling is promising for minimally invasive cancer detection, but its translation is limited by high di...

HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT

We present HERMES (Hybrid Ensemble for Radiotherapy-target segmentation, Malignancy staging, and Event-free Survival), a single containerized algorith...

Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification

Background/Objectives: Dermoscopic skin lesion classifiers often lose accuracy under domain shift across imaging devices, illumination, and capture ar...

A Scalable AI-Powered System for Explainable Machine Learning Pipelines in Brain Tumor

Artificial intelligence and radiomics are increasingly used in brain tumor research, yet their translation into clinical practice remains limited by f...

Deep Learning-Based Pretreatment Cardiovascular Risk Stratification in Women with Breast Cancer

Background: Cardiovascular disease is a leading non-cancer cause of morbidity and mortality among breast cancer (BC) survivors. Existing cardiovascula...

Where Physics Meets Privacy: Federated PINNs for Privacy-Preserving Brain Tumor Biomechanical Modeling

Brain tumors such as glioma, meningioma, and pituitary adenoma alter the mechanical behavior of soft brain tissue, yet common diagnostic methods rely ...

Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer

Background: Early prediction of distant metastasis (DM) risk in head and neck cancer (HNC) can enable timely interventions that may improve treatment ...

Group Equivariant Diffusion for Anomaly Detection in Computational Cytology

Computational cytology on whole-slide images is challenging because malignant cells are rare, heterogeneous, and annotated slides are scarce. Anomaly ...