Chemotherapy

Comparative oncology of male and female breast cancer: diagnostic paradigms and machine learning approaches in treatment.

Breast cancer is associated mostly with women; however, breast cancer also appears in men, which dictates the need to know about gender-specific differences in the pathology and treatment. Male breast cancer constitutes less than 1 % of all cases and is usually diagnosed when the patient is older, with bigger tumors and at later stages than breast cancer in women. The most widespread subtype in bo...

Artificial Intelligence in Breast Cancer Lymph Node Evaluation: Is Neoadjuvant Chemotherapy the Achilles' Heel?

CONTEXT.—: Artificial intelligence (AI) has demonstrated high accuracy in detecting lymph node (LN) metastases in treatment-naïve invasive breast cancer. However, its performance post-neoadjuvant chemotherapy (NACT) remains underexplored, where therapy-related morphologic alterations complicate assessment. OBJECTIVE.—: To evaluate an AI algorithm (aetherAI) for detecting LN metastases in post-NACT...

Precision theranostics in oncology: integrating antibody-drug conjugates, radioimmunotherapy, and immuno‑PET for adaptive cancer care.

The century-old vision of a "magic bullet" in oncology is being realized through the paradigm of precision theranostics, which formally integrates tar...

Machine Learning-driven Prediction of Cervical Cancer Cell Viability After Treatment With Thymoquinone, Curcumin, and 5-Fluorouracil.

Cervical cancer remains prevalent among women globally, driven by uncontrolled cell proliferation and evasion of apoptosis. Phytochemicals like Thymoq...

Integrating machine learning and single-cell sequencing to reveal the role of kinase-related genes in subtype classification and prognostic significance of lung squamous cell carcinoma.

BACKGROUND: Lung squamous cell carcinoma (LUSC) exhibits poor prognosis and a highly complex tumor immune microenvironment (TIME), creating an urgent ...

Machine learning-based integration of transcriptome and digital pathology for predicting chemoresistance in muscle-invasive bladder cancer.

Muscle-invasive bladder cancer (MIBC) presents with variable clinical and pathological features, leading to inconsistent responses to standard treatme...

De novo and scaffold-based design of GDF15 binders for cancer cachexia diagnostics and therapeutics.

Growth differentiation factor-15 (GDF15), a stress-responsive cytokine of the transforming growth factor-β superfamily, is elevated in cancer cachexia...

ELOVL1 promotes the progression of intrahepatic cholangiocarcinoma by enhancing endoplasmic reticulum stress and the PI3K/AKT/mTOR signaling pathway.

BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is a highly aggressive liver malignancy characterized by an adverse outcome attributed to delayed d...

RNA-based cancer immunotherapy: Harnessing the power of RNA nanoparticles for melanoma treatment.

RNA-based cancer immunotherapy has emerged as a next-generation strategy in oncology, harnessing the versatile properties of RNA molecules to activate...

Multiple Targets and Pathways Non-Monotonically Regulate Lung Squamous Cell Carcinoma Migration in Response to Phthalates.

Phthalates (PAEs) are widely used plasticizers that are increasingly linked to tumorigenesis. In this study, we integrated network toxicology and mach...

An interpretable deep learning biomarker for prognostication and prediction of adjuvant chemotherapy benefit in gastric cancer.

Prognostic stratification in gastric cancer (GC) currently relies on the tumour-node-metastasis (TNM) staging system, which incompletely captures tumo...

The value of the serum cytokine-to-immune ratio model in predicting the progression-free survival after interventional therapy for hepatocellular carcinoma.

OBJECTIVE: To develop and validate a prognostic nomogram for predicting progression-free survival (PFS) in patients with hepatocellular carcinoma (HCC...

Expanding the Therapeutic Window in Oncology: Modern Strategies and Future Directions.

Background:The enhancement of the therapeutic window (TW) in oncology remains a significant challenge, as the majority of anticancer treatments face d...

Design and in silico evaluation of an mRNA vaccine against HTLV-1 using AI-driven reverse vaccinology approaches.

Human T-lymphotropic virus type 1 (HTLV-1) is the first discovered human oncogenic retrovirus that can cause adult T-cell leukemia/lymphoma, HTLV-1-as...

Evidential reasoning-enabled deep learning for reliable treatment outcome prediction in cancer therapy.

Treatment outcome prediction plays an important role in realizing personalized cancer therapy. In triple-negative breast cancer (TNBC), neoadjuvant ch...

Artificial Intelligence Models Using Magnetic Resonance Imaging to Predict Response to Chemoradiotherapy in Rectal Cancer: A Systematic Review.

BACKGROUND: Pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) is a key prog...

Smartphone-Based Microbubble-Linked Immunosorbent Assay Powered by Classification-Regression Integrated Deep Learning for Portable Quantitative Biomarker Analysis.

As the demand for portable, efficient, and precise diagnostic technologies continues to grow in modern healthcare, traditional ELISA systems are incre...

The density of tumour infiltrating lymphocytes in oesophago-gastric cancer varies with disease stage, geographical region and treatment: a post hoc analysis of nine phase III clinical trials.

BACKGROUND: Tumour infiltrating lymphocytes (TILs) are a key component of the tumour microenvironment. To establish a clinically relevant TILs cut-off...

Machine learning for the prediction of three-year survival in locally advanced breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound imaging.

Locally Advanced Breast Cancer (LABC) is a serious type of cancer with a poor prognosis despite advances in cancer treatment. As the disease is often ...

Prediction of tumor regression grading in rectal cancer neoadjuvant chemoradiotherapy: a habitat radiomics analysis of imaging biomarker.

BACKGROUND: Tumor regression grading (TRG) is a core prognostic predictor of treatment outcomes in rectal cancer. Conventional TRG assessment methods ...