Personalised Medicine Implementation in Low- and Middle-Income Countries

Gusila, Ilenuta; Topa, Alexandra; Zarbailov, Natalia; Lungu, Natalia; Curocichin, Ghenadie

doi:10.1007/978-3-031-42782-4_44

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…The process of extracting valuable insights from health data necessitates bioinformatics expertise, access to low-latency systems for secure and scalable data collection, and efficient processing and storage of vast volumes of multi-modal data. However, the high costs of acquiring such expertise and computing resources confine precision medicine advancements to well-funded institutions in high-income countries (HICs), thereby perpetuating the disparity in biomedical research, disease diagnosis, and treatment in low-and middle-income countries (LMICs) 2,3 .…”

Section: Mainmentioning

confidence: 99%

Achieving Inclusive Healthcare through Integrating Education and Research with AI and Personalized Curricula

Bahmani,

Cha,

Alavi

et al. 2024

Preprint

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Precision medicine promises significant health benefits but faces challenges such as the need for complex data management and analytics, interdisciplinary collaboration, and education of researchers, healthcare professionals, and participants. Addressing these needs requires the integration of computational experts, engineers, designers, and healthcare professionals to develop user-friendly systems and shared terminologies. The widespread adoption of large language models (LLMs) like GPT-4 and Claude 3 highlights the importance of making complex data accessible to non-specialists. The Stanford Data Ocean (SDO) strives to mitigate these challenges through a scalable, cloud-based platform that supports data management for various data types, advanced research, and personalized learning in precision medicine. SDO provides AI tutors and AI-powered data visualization tools to enhance educational and research outcomes and make data analysis accessible for users from diverse educational backgrounds. By extending engagement and cutting-edge research capabilities globally, SDO particularly benefits economically disadvantaged and historically marginalized communities, fostering interdisciplinary biomedical research and bridging the gap between education and practical application in the biomedical field.

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Section: Mainmentioning

confidence: 99%

Achieving Inclusive Healthcare through Integrating Education and Research with AI and Personalized Curricula

Bahmani,

Cha,

Alavi

et al. 2024

Preprint

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Prostate Cancer: A Review of Genetics, Current Biomarkers and Personalised Treatments

Wilson,

Zishiri

2024

Cancer Reports

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BackgroundProstate cancer is the second leading cause of cancer deaths in men, second only to lung cancer. Despite this, diagnosis and prognosis methods remain limited, with effective treatments being few and far between. Traditionally, prostate cancer is initially tested for through a prostate serum antigen (PSA) test and a digital rectum examination (DRE), followed by confirmation through an invasive prostate biopsy. The DRE and biopsy are uncomfortable for the patient, so less invasive, accurate diagnostic tools are needed. Current diagnostic tools, along with genes that hold possible biomarker uses in diagnosis, prognosis and indications for personalised treatment plans, were reviewed in this article.Recent FindingsSeveral genes from multiple families have been identified as possible biomarkers for disease, including those from the MYC and ETS families, as well as several tumour suppressor genes, Androgen Receptor signalling genes and DNA repair genes. There have also been advances in diagnostic tools, including MRI‐targeted and liquid biopsies. Several personalised treatments have been developed over the years, including those that target metabolism‐driven prostate cancer or those that target inflammation‐driven cancer.ConclusionSeveral advances have been made in prostate cancer diagnosis and treatment, but the disease still grows year by year, leading to more and more deaths annually. This calls for even more research into this disease, allowing for better diagnosis and treatment methods and a better chance of patient survival.

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Personalised Medicine Implementation in Low- and Middle-Income Countries

Cited by 2 publications

References 31 publications

Achieving Inclusive Healthcare through Integrating Education and Research with AI and Personalized Curricula

Achieving Inclusive Healthcare through Integrating Education and Research with AI and Personalized Curricula

Prostate Cancer: A Review of Genetics, Current Biomarkers and Personalised Treatments

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