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Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

As the demand for evidence-based medicine (EBM) is increasing, it is important to lower the costs to identify and evaluate the best evidence.

Muhammad Afzal, Maqbool Hussain, Khalid Mahmood Malik, Sungyoung Lee

JMIR Med Inform 2019;7(4):e13430

Intellectual Structure and Evolutionary Trends of Precision Medicine Research: Coword Analysis

Intellectual Structure and Evolutionary Trends of Precision Medicine Research: Coword Analysis

It is noteworthy that the terms “precision medicine,” “personalized medicine,” “stratified medicine,” and “P4 [predictive, preventative, personalized, and participatory] medicine” are still interchangeably used by some organizations and scientists [17,18].

Xiaoguang Lyu, Jiming Hu, Weiguo Dong, Xin Xu

JMIR Med Inform 2020;8(2):e11287

Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations

Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations

These studies will likely play a key role in precision medicine, with its focus on narrowly defined patient cohorts, rare conditions, and complex comorbidities [5].Figure 1Example of an N-of-1 study comparing two blood pressure medications.

Bethany Percha, Edward B Baskerville, Matthew Johnson, Joel T Dudley, Noah Zimmerman

J Med Internet Res 2019;21(4):e12641

Alterations of Gut Microbiota and the Brain-Immune-Intestine Axis in Patients With Relapsing-Remitting Multiple Sclerosis After Treatment With Oral Cladribine: Protocol for a Prospective Observational Study

Alterations of Gut Microbiota and the Brain-Immune-Intestine Axis in Patients With Relapsing-Remitting Multiple Sclerosis After Treatment With Oral Cladribine: Protocol for a Prospective Observational Study

immunological system from previous research in celiac disease; and to include a more homogeneous group of patients, based on type of MS, disease severity, and type of IMT [13,25].In summary, the results of the BIA Study are likely to contribute to more individualized medicine

Jeske van Pamelen, Lynn van Olst, Andries E Budding, BIA Study Group, Helga E de Vries, Leo H Visser

JMIR Res Protoc 2020;9(7):e16162

Building a Pharmacogenomics Knowledge Model Toward Precision Medicine: Case Study in Melanoma

Building a Pharmacogenomics Knowledge Model Toward Precision Medicine: Case Study in Melanoma

It combines pharmacology (the science of drugs) and genomics (the study of genes and their functions), and is certain to improve new drug development and precision medication.

Hongyu Kang, Jiao Li, Meng Wu, Liu Shen, Li Hou

JMIR Med Inform 2020;8(10):e20291

Information Needs in the Precision Medicine Era: How Genetics Home Reference Can Help

Information Needs in the Precision Medicine Era: How Genetics Home Reference Can Help

The influx of data generated by precision medicine means individuals will have access to more details about their health than ever before when making precision medicine-based health care decisions [10].

Heather Collins, Sherri Calvo, Kathleen Greenberg, Lisa Forman Neall, Stephanie Morrison

Interact J Med Res 2016;5(2):e13

Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform

Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform

One particular area of medicine that relies heavily on these big data sources is precision medicine, where massive amounts of information are needed to provide precision diagnostics or therapeutics [3-5].

Jacob McPadden, Thomas JS Durant, Dustin R Bunch, Andreas Coppi, Nathaniel Price, Kris Rodgerson, Charles J Torre Jr, William Byron, Allen L Hsiao, Harlan M Krumholz, Wade L Schulz

J Med Internet Res 2019;21(4):e13043

Comment on “Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations”

Comment on “Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations”

In “Designing robust N-of-1 studies for precision medicine: Simulation study and design recommendations” by Percha et al [1], the authors use misleading language when speaking about the required numbers of samples regarding results in Figure 4a.

Reid D Landes

J Med Internet Res 2020;22(9):e16179

Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis

Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis

for cancer control and prevention are facing multiple barriers because of limited health service infrastructure, availability of treatment options, and health worker capacities.Artificial intelligence (AI) is considered a disruptive innovation in health and medicine

Bach Xuan Tran, Carl A Latkin, Noha Sharafeldin, Katherina Nguyen, Giang Thu Vu, Wilson W S Tam, Ngai-Man Cheung, Huong Lan Thi Nguyen, Cyrus S H Ho, Roger C M Ho

JMIR Med Inform 2019;7(4):e14401