An innovative training program to provide clinical research training for clinicians was created in 1979 at the University of Pennsylvania School of Medicine, now the Perelman School of Medicine. The program's principal and continuing aim is to provide trainees mentored experiences and the training needed to become skilled independent investigators able to conduct clinical research and develop academic careers as independent clinical investigators.The authors identify the vision that led to the creation of the master of science in clinical epidemiology (MSCE) degree program and describe today's training program, including administration, oversight, participating faculty, and trainees. They also describe the program's core curriculum, elective options, seminars on ongoing research, training in the responsible conduct of research, professional development activities, and the development and completion of a closely mentored clinical research project.Approximately 35 new trainees enter the two- to three-year program annually. Funding is provided primarily by National Institutes of Health-funded training programs and supplemented by private industry, private foundations, and employee-based benefits. More than 500 individuals have received or are currently receiving training through the MSCE program. A large percentage of former trainees maintain full-time positions in academic medicine today.The authors identify some challenges that have been met and insights regarding funding, faculty, trainees, and curriculum. Ongoing challenges include recruiting trainees from some selected highly paid, procedure-oriented specialties, maintaining sufficient mentors for the continually increasing numbers of trainees, and distinguishing applicants who truly desire a primary research career from others.
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http://dx.doi.org/10.1097/ACM.0b013e31823ab5c2 | DOI Listing |
Biomed Phys Eng Express
January 2025
Dept. Mechanical Engineering, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba, Chiba, 263-8522, JAPAN.
Albumin and γ-globulin concentrations in subcutaneous adipose tissues (SAT) have been quantified by multivariate regression based on admittance relaxation time distribution (mraRTD) under the fluctuated background of sodium electrolyte concentration. The mraRTD formulates P = Ac + Ξ (P: peak matrix of distribution function magnitude ɣP and frequency τP, c: concentration matrix of albumin cAlb, γ-globulin Gloc, and sodium electrolyte Nac, A: coefficient matrix of a multivariate regression model, and Ξ: error matrix). The mraRTD is implemented by two processes which are: 1) the training process of A through the maximum likelihood estimation of P and 2) the quantification process of cAlb, Gloc, and Nac through the model prediction.
View Article and Find Full Text PDFAnn Intern Med
January 2025
Vanderbilt University School of Medicine, Nashville, Tennessee.
Ann Intern Med
January 2025
Tufts University School of Medicine, Wellesley, Massachusetts (J.P.K.).
Ann Intern Med
January 2025
Department of Neurology, David Geffen School of Medicine at University of California, Los Angeles, and California Rehabilitation Institute, Los Angeles, California.
Ann Intern Med
January 2025
Durham VA Health Care System, Durham; and Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina (K.M.G.).
Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.
Purpose: To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.
Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.
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