Obesity is a multi-factorial disease that is influenced by genetic, epigenetic, and environmental factors. Precision medicine is a practice wherein prevention and treatment strategies take individual variability into account. It involves using a variety of factors including deep phenotyping using clinical, physiologic, and behavioral characteristics, 'omics assays (eg, genomics, epigenomics, transcriptomics, and microbiomics among others), and environmental factors to devise practices that are individualized to subsets of patients. Personalizing the therapeutic modality to the individual can lead to enhanced effectiveness and tolerability. The authors review advances in precision medicine made in the field of bariatrics and discuss future avenues and challenges.
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http://dx.doi.org/10.1016/j.giec.2024.03.004 | DOI Listing |
Lung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
Retin Cases Brief Rep
October 2024
Singapore National Eye Centre, Singapore.
Purpose: We describe an atypical presentation of an 11-year-old female with enhanced S-cone syndrome (ESCS).
Methods: Case report. The patient underwent a thorough ophthalmic examination and investigations such as colour fundus photography, optical coherence tomography, fundus autofluorescence, fluorescein and indocyanine angiography, an electroretinogram and genetic testing.
J Craniofac Surg
October 2024
Department of Biomedical and Surgical and Biomedical Sciences, Catania University, Catania, Italy.
Background: With the use of machine learning algorithms, artificial intelligence (AI) has become a viable diagnostic and treatment tool for oral cancer. AI can assess a variety of information, including histopathology slides and intraoral pictures.
Aim: The purpose of this systematic review is to evaluate the efficacy and accuracy of AI technology in the detection and diagnosis of oral cancer between 2020 and 2024.
JCO Oncol Pract
January 2025
Division of Oncology, Stanford University School of Medicine, Stanford, CA.
Purpose: Food insecurity is prevalent among patients with cancer. Gaps in our understanding of preferences for food assistance among Latino or Hispanic, immigrant, and people with multiple races and ethnicities limit uptake of food assistance interventions among these populations. We aimed to deeply understand the needs and preferences and barriers to food assistance intervention uptake among low-income, predominantly Latino or Hispanic, immigrant, and people with multiple races and ethnicities and cancer to inform development of tailored interventions.
View Article and Find Full Text PDFClin Chem Lab Med
January 2025
Clinical Laboratory, Sir Run Run Shaw Hospital, School of Medicine, 56660 Zhejiang University, Hangzhou, Zhejiang, China.
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