AIMC Topic: Precision Medicine
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Transforming personalized chronic pain management with artificial intelligence: A commentary on the current landscape and future directions.
Experimental neurology
Sep 29, 2024
Artificial intelligence (AI) has the potential to revolutionize chronic pain management by guiding the development of effective treatment strategies that are tailored to individual patient needs. This potential comes from AI's ability to analyze larg...
Developing machine learning models for personalized treatment strategies in early breast cancer patients undergoing neoadjuvant systemic therapy based on SEER database.
Scientific reports
Sep 27, 2024
This study aimed to compare the long-term outcomes of breast-conserving surgery plus radiotherapy (BCS + RT) and mastectomy in early breast cancer (EBC) patients who received neoadjuvant systemic therapy (NST), and sought to construct and authenticat...
Personalizing neurosurgical strategies for epidermoid cysts with artificial intelligence.
Neurosurgical review
Sep 27, 2024
Explainable biology for improved therapies in precision medicine: AI is not enough.
Best practice & research. Clinical rheumatology
Sep 26, 2024
Technological advances and high-throughput bio-chemical assays are rapidly changing ways how we formulate and test biological hypotheses, and how we treat patients. Most complex diseases arise on a background of genetics, lifestyle and environment fa...
From Biosensors to Robotics: Pioneering Advances in Breast Cancer Management.
Sensors (Basel, Switzerland)
Sep 23, 2024
Breast cancer stands as the most prevalent form of cancer amongst females, constituting more than one-third of all cancer cases affecting women. It causes aberrant cell development, which can assault or spread to other sections of the body, perhaps l...
Combining clinical and molecular data for personalized treatment in acute myeloid leukemia: A machine learning approach.
Computer methods and programs in biomedicine
Sep 18, 2024
BACKGROUND AND OBJECTIVE: The standard of care in Acute Myeloid Leukemia patients has remained essentially unchanged for nearly 40 years. Due to the complicated mutational patterns within and between individual patients and a lack of targeted agents ...
The emerging role of AI in enhancing intratumoral immunotherapy care.
Oncotarget
Sep 17, 2024
The emergence of immunotherapy (IO), and more recently intratumoral IO presents a novel approach to cancer treatment which can enhance immune responses while allowing combination therapy and reducing systemic adverse events. These techniques are inte...
AI-driven innovations in Alzheimer's disease: Integrating early diagnosis, personalized treatment, and prognostic modelling.
Ageing research reviews
Sep 16, 2024
Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research and clinical practice due to its complex etiology and progressive nature. The integration of artificial intelligence (AI) into the diagnosis, treatment, and progn...
MMGCN: Multi-modal multi-view graph convolutional networks for cancer prognosis prediction.
Computer methods and programs in biomedicine
Sep 6, 2024
BACKGROUND AND OBJECTIVE: Accurate prognosis prediction for cancer patients plays a significant role in the formulation of treatment strategies, considerably impacting personalized medicine. Recent advancements in this field indicate that integrating...
Dose Individualisation of Antimicrobials from a Pharmacometric Standpoint: The Current Landscape.
Drugs
Sep 6, 2024
Successful antimicrobial therapy depends on achieving optimal drug concentrations within individual patients. Inter-patient variability in pharmacokinetics (PK) and differences in pathogen susceptibility (reflected in the minimum inhibitory concentra...
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