Oncology/Hematology

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions.

Analysis of multimodal and multidimensional data capturing dynamic interactions between diverse cell populations is a current challenge in bioimaging, especially in the context of immunology and immunotherapy research. Here, we introduce Celldetective, an open-source Python-based software tool designed for high-performance end-to-end analysis of image-based in vitro immune and immunotherapy assays...

Spiky Magnetic Titania Particles for Integrated Exosome Capture and Metabolic Profiling Toward Cancer Diagnosis.

Exosomal metabolite profiling represents a promising non-invasive approach for cancer diagnosis. However, its widespread application has been constrained by inefficient exosome isolation and cumbersome metabolomic workflows. Herein, we introduce a "magnetic-catcher" composite comprising a spiky TiO2 shell with 3D nano-traps for efficient exosome capture via spatial complementarity and affinity int...

Virus infections and cancers: from mechanisms to therapeutics.

Viral infections are a major contributor to global cancer incidence and mortality. However, integrative reviews that connect viral classification, car...

Risk prediction of non-small cell lung cancer in patients with pulmonary nodules: a single-center cohort study based on six machine learning algorithms.

OBJECTIVE: Lung cancer is a major global public health concern. Non-small cell lung cancer (NSCLC), the most common subtype, has drawn increasing atte...

Efficient Diagnosis of Spatiotemporal Evolution and Driving Factors of Surface Ozone Pollution Episodes: An Application in Jiangsu Province, China.

Severe ozone (O3) pollution is a major challenge for air quality improvement in China, primarily due to its spatiotemporal heterogeneity and nonlinear...

AI derived Whole-Body MRI metrics in multiple myeloma patients reveal unique insights into body composition and outcomes.

Patients with multiple myeloma are frequently exposed to prolonged, multi-line and multi-drug treatment, factors that may substantially influence over...

Macrophage-Induced Senescent Cancer-Associated Fibroblasts Promote SASP-Mediated Chemoresistance in Colorectal Cancer.

Cancer-associated fibroblasts (CAFs) play a crucial role in the tumor microenvironment (TME) by influencing tumor progression, metastasis, and therapy...

MRI-based gross tumor volume delineation in high-grade glioma using a deep convolutional neural network.

OBJECTIVE: In brain radiotherapy, accurate target volume delineation is a key step in treatment planning. However, manual contour delineation can be t...

MRI-Only Simulation for Prostate MRI-Guided SBRT.

PURPOSE: The SMART (Stereotactic MR-Guided Adaptive Radiation Therapy) protocol for prostate SBRT has demonstrated favorable clinical outcomes using a...

Astragalus polysaccharide-based thermoresponsive hydrogel loaded with β-elemene nanoemulsion in combination with anti-PD-L1 therapy for triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is classified as an immunologically cold tumor, which markedly weakens the therapeutic efficacy of immune checkpo...

SpiderMass ambient mass spectrometry and multimodal machine learning enable ex vivo ovarian cancer typing and exploratory immunoscoring.

Complete cytoreductive surgery remains one of the strongest determinants of outcome in ovarian cancer, yet surgeons still lack rapid tissue-assessment...

Radiolysis in drug discovery: molecular modification, repurposing, and mechanistic insights.

INTRODUCTION: In drug discovery, exploring novel chemical space and elucidating precise molecular mechanisms are essential for successful lead identif...

Minimally invasive circulating MicroRNA signatures for breast cancer detection and neoadjuvant therapy response prediction in a multicenter MENA cohort.

BACKGROUND: Early detection and treatment stratification of breast cancer remain major clinical challenges, particularly in the Middle East and North ...

Large language models enable prognostic stratification of cancer patients using real-world clinical notes.

In medical documentation, vast amounts of unstructured text are generated that are still underutilized in current prognostic models. We investigate th...

Prediction of PD-L1 expression in nonsmall cell lung cancer using artificial intelligence models based on radiomics: a systematic review and meta-analysis.

BACKGROUND: Since 1992, the incidence of lung cancer has shown an overall downward trend, with survival rates significantly improving in recent years ...

Gramado consensus on imaging evaluation of the response to neoadjuvant systemic therapy for breast cancer.

The assessment of response to neoadjuvant systemic therapy (NST) is a critical pillar in defining the multidisciplinary therapeutic strategy in breast...

Identification of the oxidation stress-related gene signatures and functional verification of MINK1 in prostate cancer cells.

BACKGROUND: A major challenge facing prostate cancer (PCa) cells is oxidative stress, yet the precise role and underlying mechanisms remain inadequate...

Identification and verification of immunogenic cell death-related signatures derived from bone metastasis of prostate cancer based on multi-omics and machine learning algorithms.

BACKGROUND: Prostate cancer (PCa) is a prevalent urological malignancy in men, with bone metastasis occurring in the majority of patients, often leadi...

A Comparative Cross-sectional Study Assessing the Readability of ChatGPT and UpToDate Content on Multiple Endocrine Neoplasia Syndromes.

BACKGROUND: With growing reliance on digital health tools, the readability of online medical content is increasingly vital in patient-centered care. A...

Automatic Sleep Staging Using Cardiorespiratory Signals: A Systematic Review of Methodologies and Performance.

Cardiorespiratory-based methods offer promising alternatives to traditional PSG for longitudinal sleep monitoring, holding significant systemic medica...