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Tumorigenesis is commonly driven by genetic mutations and disruptions in cellular signalling pathways. Here we show that the oncogenic overexpression of the RNase L inhibitor ABCE1, a component of interferon signalling, leads to distinct an…

Mammography is an essential tool for breast cancer screening, yet the accuracy of Mean Glandular Dose (MGD) estimation is often limited by conventional dosimetric models that rely on homogeneous phantoms. These models oversimplify the compl…

Accurate delineation of treatment targets and organs at risk (OARs) is essential to the success of radiotherapy (RT). Although artificial intelligence (AI)-based segmentation methods have successfully automated the delineation process, a re…

Cancer remains a leading cause of death worldwide, with lineage plasticity emerging as a hallmark that drives therapy resistance and tumor progression by enabling cancer cells to alter identity and evade targeted therapies. Although genomic…

[OBJECTIVE] This study develops and validates a deployable, privacy-preserving automated tool to address the labor-intensive nature of colorectal cancer (CRC) recurrence registration. Our tool utilizes a reproducible, two-stage 'Clinical Co…

[BACKGROUND] In the Netherlands, all inhabitants are required to have health insurance that covers standard medical care. While this regulated system aims to ensure equal access, recent evidence suggests that socioeconomic status (SES) disp…

TL;DRThe reproducibility of radiological studies using ANN-based models to screen or characterise cancer is limited by suboptimal reporting practices and stronger emphasis on reporting clinically relevant outcome measures wou…

TL;DRDSPA-U-MIL is proposed, an uncertainty-driven dual-selective Gleason Pattern-aware MIL model for patient-level GG prediction that consistently outperforms existing MIL approaches in Gleason GG prediction.

[BACKGROUND] Tumor evolution is a spatiotemporal dynamic process orchestrated by the interplay of genetic mutations, epigenetic reprogramming, and bidirectional microenvironmental interactions, which collectively generate the phenotypic div…

TL;DRThis work proposes a SAM-driven cross prompting framework with adaptive sampling and prompt consistency for semi-supervised medical image segmentation, named CPAC-SAM, and proposes an innovative prototype-guided grid sam…

Whole Slide Images (WSIs) have been widely used in computational pathology (CPath) for various tasks. However, obtaining high-quality annotations remains a major bottleneck. Task-aware unsupervised anomaly detection models offer a promising…

[BACKGROUND] The rising incidence and mortality of lung adenocarcinoma (LUAD) present a significant public health challenge. Histidine, an essential amino acid, plays a pivotal role in metabolic processes, yet its specific contribution to L…

[PURPOSE] Non-invasive grading of prostate cancer (PCa) from micro-ultrasound (micro-US) could expedite triage and guide biopsies toward the most aggressive regions, yet current models struggle to infer tissue micro-structure at coarse imag…

Survival prognosis is crucial for medical informatics. Practitioners often confront small-sized clinical data, especially cancer patient cases, which can be insufficient to induce useful patterns for survival predictions. This study deals w…

[BACKGROUND AND OBJECTIVE] Tumor-infiltrating lymphocytes (TILs) are an important indicator of immune activity in breast cancer, yet scoring them consistently on H&E slides remains challenging in routine pathology. This work presents a modu…

[PURPOSE] Accurate segmentation of prostate cancer on magnetic resonance (MR) images is crucial for planning image-guided interventions such as targeted biopsies, cryoablation, and radiotherapy. However, subtle and variable tumour appearanc…

Gleason grading, the clinical gold standard for prostate cancer assessment, is based on subjective evaluation of glandular architecture, resulting in interobserver variability and limited scalability. This highlights the need for automated …

[PURPOSE] Neoadjuvant chemotherapy (NAC) is considered standard of care for patients with cT2 + and/or N + triple negative (TN) and HER2-positive (HER2 +) breast cancer (BC). A previous retrospective study showed only 23.9% of stage II-III …

Breast cancer which is the major cause of cancer deaths needs further innovative treatment methods to curb the weaknesses of the existing treatment methods. Quinazoline derivatives with an anticancer potential that seems to be highly promis…

Colorectal cancer remains the second contributor to cancer-related mortality worldwide. Despite various advances in chemotherapeutic approaches, chemoresistance still poses a significant risk, hampering the effectiveness of the treatment. R…