AIMC Topic: Neoplasms
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Interoperability Framework of the European Health Data Space for the Secondary Use of Data: Interactive European Interoperability Framework-Based Standards Compliance Toolkit for AI-Driven Projects.
Journal of medical Internet research
Apr 23, 2025
The successful implementation of the European Health Data Space (EHDS) for the secondary use of data (known as EHDS2) hinges on overcoming significant challenges, including the proper implementation of interoperability standards, harmonization of div...
Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types.
European journal of cancer (Oxford, England : 1990)
Apr 20, 2025
Cancer remains the second leading cause of death worldwide, representing a substantial challenge to global health. Although traditional risk prediction models have played a crucial role in epidemiology of several cancer types, they have limitations e...
Coptidis rhizoma and berberine as anti-cancer drugs: A 10-year updates and future perspectives.
Pharmacological research
Apr 19, 2025
Cancer continues to be among the most substantial health challenges globally. Among various natural compounds, berberine, an isoquinoline alkaloid obtained from Coptidis Rhizoma, has garnered considerable attention for its broad-spectrum biological a...
In-silico investigation integrated with machine learning to identify potential inhibitors targeting AKT2: Key driver of cancer cell progression and metastasis.
Computer methods and programs in biomedicine
Apr 18, 2025
BACKGROUND AND OBJECTIVE: In search of a key driver for the invasive growth of cancer metastasis, AKT2 is found to be exceptionally expressed in colorectal cancer and its metastasis. Again, exceeding genomic arrangements of AKT2 can be held responsib...
Optimizing Nutritional Care with Machine Learning: Identifying Sarcopenia Risk Through Body Composition Parameters in Cancer Patients-Insights from the NUTritional and Sarcopenia RIsk SCREENing Project (NUTRISCREEN).
Nutrients
Apr 18, 2025
: Cancer and related treatments can impair body composition (BC), increasing the risk of malnutrition and sarcopenia, poor prognosis, and Health-Related Quality of Life (HRQoL). To enhance BC parameter interpretation through Bioelectrical Impedance A...
Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study.
Journal of medical Internet research
Apr 17, 2025
BACKGROUND: Effective physician-patient communication is essential in clinical practice, especially in oncology, where radiology reports play a crucial role. These reports are often filled with technical jargon, making them challenging for patients t...
A clinical benchmark of public self-supervised pathology foundation models.
Nature communications
Apr 17, 2025
The use of self-supervised learning to train pathology foundation models has increased substantially in the past few years. Notably, several models trained on large quantities of clinical data have been made publicly available in recent months. This ...
Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks.
Pharmaceutical research
Apr 17, 2025
OBJECTIVE: Quantitative systems pharmacology (QSP) is widely used to assess drug effects and toxicity before the drug goes to clinical trial. However, significant manual distillation of the literature is needed in order to construct a QSP model. Para...
Assessing the Quality and Reliability of ChatGPT's Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4.
JMIR cancer
Apr 16, 2025
BACKGROUND: Patients frequently resort to the internet to access information about cancer. However, these websites often lack content accuracy and readability. Recently, ChatGPT, an artificial intelligence-powered chatbot, has signified a potential p...
Artificial intelligence utilization in cancer screening program across ASEAN: a scoping review.
BMC cancer
Apr 15, 2025
BACKGROUND: Cancer remains a significant health challenge in the ASEAN region, highlighting the need for effective screening programs. However, approaches, target demographics, and intervals vary across ASEAN member states, necessitating a comprehens...
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