AIMC Topic: Neoplasms
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Mathematical and numerical tumour development modelling for personalised treatment planning.
Biomechanics and modeling in mechanobiology
Apr 8, 2025
This paper presents a mathematical and numerical framework for modelling and parametrising tumour evolution dynamics to enhance computer-aided diagnosis and personalised treatment. The model comprises six differential equations describing cancer cell...
Cancer Informatics: Novel Methods and Applications of Artificial Intelligence in Cancer Care Delivery.
Yearbook of medical informatics
Apr 8, 2025
OBJECTIVES: To summarize significant research contributions on cancer informatics published in 2023, an extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2023 that address topics in cancer. The ...
A Narrative Review on the Application of Large Language Models to Support Cancer Care and Research.
Yearbook of medical informatics
Apr 8, 2025
OBJECTIVES: The emergence of large language models has resulted in a significant shift in informatics research and carries promise in clinical cancer care. Here we provide a narrative review of the recent use of large language models (LLMs) to suppor...
Evaluation of Large Language Models in Tailoring Educational Content for Cancer Survivors and Their Caregivers: Quality Analysis.
JMIR cancer
Apr 7, 2025
BACKGROUND: Cancer survivors and their caregivers, particularly those from disadvantaged backgrounds with limited health literacy or racial and ethnic minorities facing language barriers, are at a disproportionately higher risk of experiencing sympto...
Complex-valued neural networks to speed-up MR thermometry during hyperthermia using Fourier PD and PDUNet.
Scientific reports
Apr 6, 2025
Hyperthermia (HT) in combination with radio- and/or chemotherapy has become an accepted cancer treatment for distinct solid tumour entities. In HT, tumour tissue is exogenously heated to temperatures between 39 and 43 °C for 60 min. Temperature monit...
Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer.
Cell communication and signaling : CCS
Apr 5, 2025
BACKGROUND: Lysyl oxidases (LOX/LOXL1-4) are crucial for cancer progression, yet their transcriptional regulation, potential therapeutic targeting, prognostic value and involvement in immune regulation remain poorly understood. This study comprehensi...
FACT: foundation model for assessing cancer tissue margins with mass spectrometry.
International journal of computer assisted radiology and surgery
Apr 4, 2025
PURPOSE: Accurately classifying tissue margins during cancer surgeries is crucial for ensuring complete tumor removal. Rapid Evaporative Ionization Mass Spectrometry (REIMS), a tool for real-time intraoperative margin assessment, generates spectra th...
Leveraging Artificial Intelligence to Uncover Symptom Burden in Palliative Care: Analysis of Nonscheduled Visits Using a Phi-3 Small Language Model.
JCO global oncology
Apr 4, 2025
PURPOSE: This study aimed to differentiate nonscheduled visits (NSVs) in an outpatient palliative care setting that are driven by or accompanied by uncontrolled symptoms from those that are administrative or routine, such as prescription refills and ...
Identification of Crohn's Disease-Related Biomarkers and Pan-Cancer Analysis Based on Machine Learning.
Mediators of inflammation
Apr 4, 2025
: In recent years, the incidence of Crohn's disease (CD) has shown a significant global increase, with numerous studies demonstrating its correlation with various cancers. This study aims to identify novel biomarkers for diagnosing CD and explore the...
Mitigating ambient RNA and doublets effects on single cell transcriptomics analysis in cancer research.
Cancer letters
Apr 3, 2025
In cancer biology, where understanding the tumor microenvironment at high resolution is vital, ambient RNA contamination becomes a considerable problem. This hinders accurate delineation of intratumoral heterogeneity, complicates the identification o...
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