AIMC Topic: Neoplasms

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GNNMutation: a heterogeneous graph-based framework for cancer detection.

BMC bioinformatics
BACKGROUND: When genes are translated into proteins, mutations in the gene sequence can lead to changes in protein structure and function as well as in the interactions between proteins. These changes can disrupt cell function and contribute to the d...

DFT_ANPD: A dual-feature two-sided attention network for anticancer natural products detection.

Computers in biology and medicine
The exploration of anticancer drugs has aimed at more effective, adaptable, and less harmful treatments, with natural products pivotal in cancer research. In addition to experimental techniques for identifying anticancer drug candidates, computationa...

Acquired resistance in cancer: towards targeted therapeutic strategies.

Nature reviews. Cancer
Development of acquired therapeutic resistance limits the efficacy of cancer treatments and accounts for therapeutic failure in most patients. How resistance arises, varies across cancer types and differs depending on therapeutic modalities is incomp...

Machine learning-enhanced SERS diagnostics: Accelerating the AI-powered transition from laboratory discoveries to clinical practice.

Computers in biology and medicine
Surface-enhanced Raman spectroscopy (SERS) has emerged as a transformative analytical tool in disease diagnostics, offering unparalleled sensitivity and molecular fingerprinting capabilities. However, its clinical translation is hindered by the inher...

Current AI technologies in cancer diagnostics and treatment.

Molecular cancer
Cancer continues to be a significant international health issue, which demands the invention of new methods for early detection, precise diagnoses, and personalized treatments. Artificial intelligence (AI) has rapidly become a groundbreaking componen...

Development and validation of the Immune Profile Score (IPS), a novel multiomic algorithmic assay for stratifying outcomes in a real-world cohort of patients with advanced solid cancer treated with immune checkpoint inhibitors.

Journal for immunotherapy of cancer
BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed the oncology treatment landscape. Despite substantial improvements for some patients, the majority do not benefit from ICIs, indicating a need for predictive biomarkers to better inform...

Unraveling senescence in cancer: mechanistic complexities and therapeutic opportunities.

Molecular biology reports
Senescence is a pivotal cellular process, which also plays a major role in development, immune regulation, tissue repair, and aging, triggered by stressors such as telomere shortening, oncogene activation, and DNA damage. Characterized by distinct mo...

Current status, hotspots, and trends in cancer prevention, screening, diagnosis, treatment, and rehabilitation: A bibliometric analysis.

Oncology research
OBJECTIVES: Decades of clinical and fundamental research advancements in oncology have led to significant breakthroughs such as early screening, targeted therapies, and immunotherapy, contributing to reduced mortality rates in cancer patients. Despit...

PathoGraph: A Graph-Based Method for Standardized Representation of Pathology Knowledge.

Scientific data
Pathology data, primarily consisting of slides and diagnostic reports, inherently contain knowledge that is pivotal for advancing data-driven biomedical research and clinical practice. However, the hidden and fragmented nature of this knowledge acros...

Extrachromosomal circular DNA drives dynamic genome plasticity: emerging roles in disease progression and clinical potential.

Theranostics
Extrachromosomal circular DNA (eccDNA) has emerged as a dynamic and versatile genomic element with key roles in physiological regulation and disease pathology. This review synthesizes current knowledge on eccDNA, covering its classification, biogenes...