Oncology/Hematology

Breast Cancer

Latest AI and machine learning research in breast cancer for healthcare professionals.

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Supporting intraoperative margin assessment using deep learning for automatic tumour segmentation in breast lumpectomy micro-PET-CT.

Complete tumour removal is vital in curative breast cancer (BCa) surgery to prevent recurrence. Rece...

Fifty years of monoclonals: the past, present and future of antibody therapeutics.

In 1975, Köhler and Milstein invented hybridoma technology for the generation of murine monoclonal a...

Deep learning-based radiomics does not improve residual cancer burden prediction post-chemotherapy in LIMA breast MRI trial.

OBJECTIVES: This study aimed to evaluate the potential additional value of deep radiomics for assess...

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images.

We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous im...

Predicting Chemotherapy-Induced Peripheral Neuropathy Using Transformer-Based Multimodal Deep Learning.

Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating adverse effect of ca...

Harnessing the Potential of Carotenoids for Cancer Therapy: An Integrated Machine Learning and MST Based Approach.

Receptor tyrosine kinases (RTKs) are high-affinity membrane-anchored receptors involved in cellular ...

Rethinking cancer of unknown primary: from diagnostic challenge to targeted treatment.

Cancer of unknown primary (CUP) is a metastatic malignancy for which a primary site of origin cannot...

Integrating genomic and pathological characteristics to enhance prognostic precision in advanced NSCLC.

Although immunotherapy combined with chemotherapy (ICT) is the standard treatment for advanced non-s...

Advances in renal cancer: diagnosis, treatment, and emerging technologies.

This review provides a comprehensive overview of current practices and recent advancements in the di...

Lysosome-derived biomarkers for predicting survival outcome in acute myeloid leukemia.

Lysosomes have a tight connection to cancer and can eliminate cancer cells. The dismal prognosis of ...

Personalizing cancer therapy: the role of pharmacogenetics in overcoming drug resistance and toxicity.

Cancer pharmacogenetics has become a cornerstone of precision oncology. It offers the potential to o...

EXPRESS: Liquid Biopsy in Breast Cancer Management: From Circulating Biomarkers to Clinical Breakthroughs.

Breast cancer continues to be a major global health concern, particularly for women, despite improve...

Deep learning-based real-time detection of head and neck tumors during radiation therapy.

Clinical drivers for real-time head and neck (H&N) tumor tracking during radiation therapy (RT) are ...

Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays.

Combination therapies enhance the therapeutic effect of cancer treatment; however, identifying effec...

Radiation enteritis associated with temporal sequencing of total neoadjuvant therapy in locally advanced rectal cancer: a preliminary study.

BACKGROUND: This study aimed to develop and validate a multi-temporal magnetic resonance imaging (MR...

A deep learning model for predicting radiation-induced xerostomia in patients with head and neck cancer based on multi-channel fusion.

OBJECTIVES: Radiation-induced xerostomia is a common sequela in patients who undergo head and neck r...

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