AIMC Topic: Neoplasms
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PathoGraph: A Graph-Based Method for Standardized Representation of Pathology Knowledge.
Scientific data
May 27, 2025
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
May 25, 2025
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...
Role of artificial intelligence in cancer drug discovery and development.
Cancer letters
May 23, 2025
The role of artificial intelligence (AI) in cancer drug discovery and development has garnered significant attention due to its potential to transform the traditionally time-consuming and expensive processes involved in bringing new therapies to mark...
HGMSurvNet: A two-stage hypergraph learning network for multimodal cancer survival prediction.
Medical image analysis
May 23, 2025
Cancer survival prediction based on multimodal data (e.g., pathological slides, clinical records, and genomic profiles) has become increasingly prevalent in recent years. A key challenge of this task is obtaining an effective survival-specific global...
Learnable prototype-guided multiple instance learning for detecting tertiary lymphoid structures in multi-cancer whole-slide pathological images.
Medical image analysis
May 23, 2025
Tertiary lymphoid structures (TLS) are ectopic lymphoid aggregates that form under specific pathological conditions, such as chronic inflammation and malignancies. Their presence within the tumor microenvironment (TME) is strongly correlated with pat...
Liquid Biopsy: The Challenges of a Revolutionary Approach in Oncology.
International journal of molecular sciences
May 23, 2025
Liquid biopsy has gained attention in oncology as a non-invasive diagnostic tool, offering valuable insights into tumor biology through the analysis of circulating nucleic acid (cfDNA and cfRNA), circulating tumor cells (CTCs), extracellular vesicles...
Oral ENPP1 inhibitor designed using generative AI as next generation STING modulator for solid tumors.
Nature communications
May 23, 2025
Despite the STING-type-I interferon pathway playing a key role in effective anti-tumor immunity, the therapeutic benefit of direct STING agonists appears limited. In this study, we use several artificial intelligence techniques and patient-based mult...
Association of sarcopenia with all-cause and cause-specific mortality in cancer patients: development and validation of a 3-year and 5-year survival prediction model.
BMC cancer
May 22, 2025
BACKGROUND: Sarcopenia is a clinicopathological condition characterized by a decrease in muscle strength and muscle mass, playing a crucial role in the prognosis of cancer. Therefore, this study aims to investigate the association between sarcopenia ...
Immunopeptidomics-guided discovery and characterization of neoantigens for personalized cancer immunotherapy.
Science advances
May 21, 2025
Neoantigens have emerged as ideal targets for personalized cancer immunotherapy. We depict the pan-cancer peptide atlas by comprehensively collecting immunopeptidomics from 531 samples across 14 cancer and 29 normal tissues, and identify 389,165 cano...
Use of Large Language Models in Clinical Cancer Research.
JCO clinical cancer informatics
May 19, 2025
Artificial intelligence (AI) is increasingly being applied to clinical cancer research, driving precision oncology objectives by gathering clinical data at scales that were not previously possible. Although small, domain-specific models have been use...
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