Article
Rehabilitation
Margaret A. French, Ryan T. Roemmich, Kelly Daley, Meghan Beier, Sharon Penttinen, Preeti Raghavan, Peter Searson, Stephen Wegener, Pablo Celnik
Summary: Precision rehabilitation is a revolutionary approach that aims to optimize individuals' function through tailored interventions based on precise measurements of their physical, cognitive, and psychosocial abilities. It requires the adoption of advanced technologies such as electronic health records, data storage and analytics, and focuses on diverse study designs, standardized functional measurements, longitudinal and accurate measures of function, comprehensive databases, predictive analyses, and system and team science development.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2022)
Article
Neurosciences
Ana Gomez-Carrillo, Vincent Paquin, Guillaume Dumas, Laurence J. Kirmayer
Summary: Precision psychiatry is part of the shift to personalized medicine, using frameworks like RDoC, biological omics data, and computational psychiatry. It recognizes that a one-size-fits-all approach is inadequate and focuses on genetic markers and advanced technology for more specific and precise treatment. However, the search for precision has mostly focused on biological factors, ignoring the need for analysis of psychological, social, and cultural dimensions.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Biochemical Research Methods
Xinshan Zhu, Jiayu Wang, Biao Sun, Chao Ren, Ting Yang, Jie Ding
Summary: By using ensemble learning, this study combines multiple single imputation methods to improve imputation performance, allowing for more efficient utilization of known data information for missing data imputation.
BMC BIOINFORMATICS
(2021)
Article
Mathematics
Matthias Templ
Summary: In the complex world of data analytics, multiple imputation has emerged as a key tool for addressing missing data, and its powerful variant, robust imputation, further enhances the precision and reliability of its results. Non-robust methods can be influenced by extreme outliers, leading to skewed imputations and biased estimates. Robust imputation methods effectively manage outliers and provide a more reliable approach to dealing with missing data.
Review
Oncology
Nathan M. Hawkey, Amanda Broderick, Daniel J. George, Oliver Sartor, Andrew J. Armstrong
Summary: Prostate cancer, the most common cancer among men, can be improved by precision medicine through the use of molecular and genomic biomarkers. However, this benefit is limited to a minority of patients, and phenotypic precision medicine may provide a more individualized approach. This review article discusses the background, clinical benefits, and limitations of genomic and phenotypic precision medicine in prostate cancer.
Article
Pharmacology & Pharmacy
Faiza Naimat, Mathumalar Loganathan Fahrni, Shankar Purushothaman, Mohamad Nizam Abdul Ghani, Supatat Chumnumwat, Zaheer-Ud-Din Babar
Summary: Community pharmacists are receptive to and value precision medicine. A relatively high number of pharmacists have been exposed to the concept of precision medicine through their pharmacy education and are willing to adopt it in their daily practice. With appropriate training and education, community pharmacists will be prepared to provide precision medicine services in the future.
FRONTIERS IN PHARMACOLOGY
(2022)
Review
Endocrinology & Metabolism
Christian Herder, Michael Roden
Summary: This review discusses the complexity of diabetes and proposes novel subgroups (subtypes) of diabetes. These subgroups display distinct patterns of clinical features, disease progression, and onset of comorbidities and complications, providing possibilities for personalized treatments in the future.
Review
Oncology
Richard C. Wang, Zhixiang Wang
Summary: The concept of precision medicine, based on genomics, emerged after the Human Genome Project. Precision medicine allows tailored treatment for different patient subpopulations based on their susceptibility to specific diseases or responsiveness to specific therapies. This review examines the history, development, and future perspective of precision medicine and discusses its concepts, principles, tools, and applications.
Review
Medicine, General & Internal
Ying X. Gue, Young-Hoon Jeong, Mohamed Farag, Nikolaos Spinthakis, Diana A. Gorog
Summary: Despite advancements in treatment, ACS patients still face the risk of recurrent thrombotic events, with impaired endogenous fibrinolysis playing a major role. Global assessment and personalized antithrombotic therapy based on fibrinolytic status may improve long-term outcomes in ACS.
JOURNAL OF CLINICAL MEDICINE
(2021)
Review
Oncology
Jinzhuang Liao, Xiaoying Li, Yu Gan, Shuangze Han, Pengfei Rong, Wei Wang, Wei Li, Li Zhou
Summary: Cancer is a major medical problem worldwide, and due to its high heterogeneity, it requires more accurate treatment methods and personalized treatments. Artificial intelligence based on big data can help clinicians understand tumors synthetically and comprehensively, extract hidden patterns, and find new biomarkers to assist in tumor screening, detection, diagnosis, treatment, and prognosis prediction, providing the best treatment for individual patients and improving clinical outcomes.
FRONTIERS IN ONCOLOGY
(2023)
Review
Health Care Sciences & Services
Mark N. Pernik, Cylaina E. Bird, Jeffrey Traylor, Diana D. Shi, Timothy E. Richardson, Samuel K. McBrayer, Kalil G. Abdullah
Summary: The emergence of patient-derived cancer organoid (PDO) models, which closely recapitulate parental tumor tissue, provides a promising approach in cancer research. PDOs can efficiently retain tumor-specific properties and enhance precision oncologic care for patients compared to traditional cell lines and xenograft models. This review highlights the advantages of PDOs in cancer modeling and potential clinical applications.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Pharmacology & Pharmacy
J. Wang, G. Zhang
Summary: Sepsis has traditionally been the most deadly and costly disease in intensive care units. The focus on sepsis has expanded beyond the initial systemic inflammatory response to include immune disorders and organ dysfunction. Research on sepsis immunotherapy is ongoing, but there are currently no clinically approved effective drugs and our understanding of the immunological microenvironment in sepsis is incomplete. This article aims to inspire future clinical practice by analyzing immune status evaluation, potential immunotherapy drugs, defects in immunotherapy, and future research prospects.
EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES
(2023)
Article
Public, Environmental & Occupational Health
Maya B. Mathur
Summary: We propose sensitivity analyses for complete-case estimates of treatment effects to address biases caused by non-random missing data. These analyses use simple summary data and avoid distributional assumptions. The proposed methods bound the overall treatment effect by considering unobserved treatment effects among nonretained participants and the strengths of confounding associations among retained participants. The introduction of the M-value as an analog to the E-value provides a measure of the strength of confounding associations required to mitigate the treatment effect. These methods can help evaluate the robustness of complete-case analyses to potential biases due to missing data.
AMERICAN JOURNAL OF EPIDEMIOLOGY
(2023)
Review
Oncology
Andrew J. Bellantoni, Lars M. Wagner
Summary: Precision oncology offers a more effective treatment option for pediatric solid tumors, particularly those driven by kinase fusions. However, the efficacy of these treatments is limited for tumors without genetic alterations due to the lack of predictive biomarkers.
Article
Oncology
Mitchell Chen, Susan J. Copley, Patrizia Viola, Haonan Lu, Eric O. Aboagye
Summary: Lung cancer, the leading cause of cancer-related deaths worldwide, can be captured non-invasively on medical imaging as radiomic features, which can be used in an artificial intelligence paradigm to predict clinical outcomes and improve patient care. Compared to tissue sampling-driven approaches, radiomics-based methods are superior for being non-invasive, reproducible, cheaper, and less susceptible to intra-tumoral heterogeneity.
SEMINARS IN CANCER BIOLOGY
(2023)
Article
Substance Abuse
Tanya R. Schlam, Michael C. Fiore, Stevens S. Smith, David Fraser, Daniel M. Bolt, Linda M. Collins, Robin Mermelstein, Megan E. Piper, Jessica W. Cook, Douglas E. Jorenby, Wei-Yin Loh, Timothy B. Baker
Article
Substance Abuse
Timothy B. Baker, Linda M. Collins, Robin Mermelstein, Megan E. Piper, Tanya R. Schlam, Jessica W. Cook, Daniel M. Bolt, Stevens S. Smith, Douglas E. Jorenby, David Fraser, Wei-Yin Loh, Wendy E. Theobald, Michael C. Fiore
Article
Substance Abuse
Megan E. Piper, Michael C. Fiore, Stevens S. Smith, David Fraser, Daniel M. Bolt, Linda M. Collins, Robin Mermelstein, Tanya R. Schlam, Jessica W. Cook, Douglas E. Jorenby, Wei-Yin Loh, Timothy B. Baker
Article
Substance Abuse
Jessica W. Cook, Linda M. Collins, Michael C. Fiore, Stevens S. Smith, David Fraser, Daniel M. Bolt, Timothy B. Baker, Megan E. Piper, Tanya R. Schlam, Douglas Jorenby, Wei-Yin Loh, Robin Mermelstein
Article
Cell Biology
Ioannis N. Melas, Theodore Sakellaropoulos, Francesco Iorio, Leonidas G. Alexopoulos, Wei-Yin Loh, Douglas A. Lauffenburger, Julio Saez-Rodriguez, Jane P. F. Bai
INTEGRATIVE BIOLOGY
(2015)
Article
Construction & Building Technology
Mounir El Asmar, Awad S. Hanna, Wei-Yin Loh
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2016)
Article
Mathematical & Computational Biology
Wei-Yin Loh, Haoda Fu, Michael Man, Victoria Champion, Menggang Yu
STATISTICS IN MEDICINE
(2016)
Article
Construction & Building Technology
Mounir El Asmar, Awad S. Hanna, Wei-Yin Loh
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2016)
Article
Statistics & Probability
Wei-Yin Loh, John Eltinge, Moon Jung Cho, Yuanzhi Li
Review
Computer Science, Artificial Intelligence
Wei-Yin Loh, Luxi Cao, Peigen Zhou
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
(2019)
Article
Substance Abuse
Nayoung Kim, Danielle E. McCarthy, Wei-Yin Loh, Jessica W. Cook, Megan E. Piper, Tanya R. Schlam, Timothy B. Baker
DRUG AND ALCOHOL DEPENDENCE
(2019)
Meeting Abstract
Biochemistry & Molecular Biology
Amy Anderson, Nadine Sahyoun, Alanna Moshfegh, Wei-Yin Loh
Article
Psychology, Clinical
Timothy B. Baker, Stevens S. Smith, Daniel M. Bolt, Wei-Yin Loh, Robin Mermelstein, Michael C. Fiore, Megan E. Piper, Linda M. Collins
Article
Substance Abuse
Megan E. Piper, Tanya R. Schlam, Jessica W. Cook, Stevens S. Smith, Daniel M. Bolt, Wei-Yin Loh, Robin Mermelstein, Linda M. Collins, Michael C. Fiore, Timothy B. Baker
DRUG AND ALCOHOL DEPENDENCE
(2017)