Pharmacogenomics (PGx) holds the promise of personalizing medical treatments based on individual genetic profiles, thereby enhancing drug efficacy and safety. However, the current landscape of PGx research is hindered by fragmented data sources, time-consuming manual data extraction processes, and the need for comprehensive and up-to-date information. This study aims to address these challenges by evaluating the ability of Large Language Models (LLMs), specifically Llama3.1-70B, to automate and improve the accuracy of PGx information extraction from the FDA Table of Pharmacogenomic Biomarkers in Drug Labeling (FDA PGx Biomarker table), which is well-structured with drug names, biomarkers, therapeutic area, and related labeling texts. Our primary goal was to test the feasibility of LLMs in streamlining PGx data extraction, as an alternative to traditional, labor-intensive approaches. Llama3.1-70B achieved 91.4% accuracy in identifying drug-biomarker pairs from single labeling texts and 82% from mixed texts, with over 85% consistency in aligning extracted PGx categories from FDA PGx Biomarker table and relevant scientific abstracts, demonstrating its effectiveness for PGx data extraction. By integrating data from diverse sources, including scientific abstracts, this approach can support pharmacologists, regulatory bodies, and healthcare researchers in updating PGx resources more efficiently, making critical information more accessible for applications in personalized medicine. In addition, this approach shows potential of discovering novel PGx information, particularly of underrepresented minority ethnic groups. This study highlights the ability of LLMs to enhance the efficiency and completeness of PGx research, thus laying a foundation for advancements in personalized medicine by ensuring that drug therapies are tailored to the genetic profiles of diverse populations.
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http://dx.doi.org/10.3389/ebm.2024.10393 | DOI Listing |
J Clin Nurs
December 2024
Department of Nursing, Physiotherapy and Medicine, University of Almería, Almería, Spain.
Aim And Objectives: To describe nurses' perceptions of sexual healthcare for people with physical and/or intellectual disabilities.
Background: Nurses are responsible for meeting the fundamental needs of people with physical and/or intellectual disabilities, yet there are still issues when it comes to their sexuality. Sexual assistants can help people with physical and/or intellectual disabilities to meet their sexual needs, but little is known about these invisible, unregulated care providers.
J Gastrointest Cancer
December 2024
Department of Traditional Chinese Medicine, The Second Affiliated Hospital of Shenzhen University (People's Hospital of Shenzhen Baoan District), Shenzhen, 518100, China.
Background And Objective: Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Despite advances in treatment, metastatic colorectal cancer (mCRC) remains a significant challenge due to its heterogeneity and resistance to therapy. Regorafenib, a multikinase inhibitor, can inhibit tumor progression through multiple mechanisms, thereby improving patient prognosis.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
December 2024
Department of Environmental Sciences and Technology, Central University of Punjab, Bathinda, 151001, Punjab, India.
In this study, water extract from Indian rosewood tree leaves was used to synthesize copper oxide nanoparticles (CuO NPs), further loaded on graphene oxide sheets to synthesize a novel nanocomposite (CuO@GO@IR). The maximum tetracycline removal was achieved at optimum conditions of pH 3, adsorbent dose 0.03g/50 mL, and 240 min contact time.
View Article and Find Full Text PDFArch Womens Ment Health
December 2024
College of Pharmacy, Jinan University, Guangzhou, Guangdong, China.
Purpose: This study investigates the potential association between commonly prescribed psychotropic medications, such as Atypical Antipsychotics (AAs), Selective Serotonin Reuptake Inhibitors (SSRIs), and Serotonin Norepinephrine Reuptake Inhibitors (SNRIs), and congenital anomalies in newborns. The analysis uses data from the Food and Drug Administration Adverse Event Reporting System (FAERS).
Methods: Spontaneously reported cases of congenital anomalies in newborns (under 28 days old) were extracted from the FAERS database, covering January 2004 to June 2023.
J Eat Disord
December 2024
School of Social Sciences, Arts Design and Architecture, University of New South Wales, Sydney, Australia.
Purpose: To examine autonomy within treatment and recovery from longstanding and severe eating disorders (EDs).
Background: The typically early age of onset, high incidence, and prolonged duration of EDs, has a high personal, relational, and financial burden for people who experience them. Current treatment practices rely on the exertion of external control and influence which has profound impacts on people living with EDs as well as the relationship and interactions between them and their treating professionals.
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