Pittsburgh Biomedical Informatics Training Program

匹兹堡生物医学信息学培训计划

• 批准号: 10615588
• 负责人: HARRY S HOCHHEISER
• 金额: $ 84.65万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10615588
• 关键词: Academia; Administrator; Admission activity; Appointment; Award; Bioinformatics; Clinical Informatics; Clinical Research; Data Science; Doctor of Philosophy; Educational Curriculum; Environment; Equipment; Evaluation; Evolution; Expert Systems; Faculty; Financial Support; Funding; Goals; Government; Healthcare; Industry; Informatics; Institution; Internships; Journals; Leadership; Medical; Medical center; Mentors; Minority-Serving Institution; Positioning Attribute; Postdoctoral Fellow; Process; Productivity; Public Health Informatics; Publishing; Recording of previous events; Research; Research Personnel; Research Training; Schools; Scientist; Secure; Training; Training Programs; United States National Institutes of Health; Universities; biomedical informatics; doctoral student; experience; imaging informatics; medical schools; member; outreach; programs; recruit

Since 1998, the Pittsburgh Biomedical Informatics Training Program (BMITP) has provided advanced training in the application of computing to challenging problems in biomedicine. In addition to our long history, our program is notable for continuous evolution of our programs, a highly collaborative research environment, and strong institutional support from the University of Pittsburgh and the University of Pittsburgh Medical Center (UPMC). BMITP is housed in the Department of Biomedical Informatics (DBMI) in Pitt’s School of Medicine. DBMI provides, space, equipment, and financial support for training program administration, faculty, and trainees. BMITP’s core faculty of 39 members, including the 19 faculty members with primary appointments in DBMI. BMITP is led by the Program Director and Associate Director, with the help of an experienced program administrator and a leadership group of faculty co-directors. The Pittsburgh Biomedical Informatics Training Program offers research training in translational bioinformatics, health care/clinical informatics, imaging informatics, clinical research informatics, and public health informatics. Trainees seek MS or PhD degrees in either Biomedical Informatics or through the Biomedical Informatics Track of the Intelligent Systems Program, housed in Pitt’s School of Computing and Information. We also train MD/PhD students through the University of Pittsburgh’s Medical Scientist Training Program. Postdoctoral trainees undertake advanced research, with the goal of developing research programs and funding applications that will support their transition to independence. A broad variety of courses at both the University of Pittsburgh and Carnegie-Mellon University are available to all trainees. During the past five years, we have revised our curriculum, our admissions processes, and our preliminary and comprehensive exams. We have also expanded our data science offerings and increased our outreach efforts with minority serving institutions. Our plans for the next five years include further strengthening of our evaluation efforts and our efforts to recruit diverse trainees, to enhance mentoring, to expand the range of internship opportunities available to trainees, and to use our streamlined evaluations to help trainees productively reach milestones and complete their degrees in a timely manner. We have a strong track record of training successful biomedical informatics researchers, many of whom have gone on to be leaders in the field. Trainees in our programs publish research articles in high-impact journals, win national awards for their research, successfully compete for NIH funding, and secure research positions in academia, industry, and government.

自1998年以来，匹兹堡生物医学信息学培训计划（BMITP）提供

项目成果

The emerging science of very early detection of disease outbreaks.

• DOI: 10.1097/00124784-200107060-00006
• 发表时间: 2001-11
• 期刊: Journal of public health management and practice : JPHMP
• 作者: M. Wagner;F. Tsui;J. Espino;V. Dato;Dean F. Sittig;R. Caruana;L. F. McGinnis;D. Deerfield;Marek J Druzdzel;D. Fridsma

Revealing common disease mechanisms shared by tumors of different tissues of origin through semantic representation of genomic alterations and topic modeling.

• DOI: 10.1186/s12864-017-3494-z
• 发表时间: 2017-03-14
• 期刊: BMC genomics
• 影响因子: 4.4
• 作者: Chen V;Paisley J;Lu X
• 通讯作者: Lu X

Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2.

• DOI: 10.1186/s13326-016-0084-y
• 发表时间: 2016-07-01
• 期刊: Journal of biomedical semantics
• 影响因子: 1.9
• 作者: Mowery DL;South BR;Christensen L;Leng J;Peltonen LM;Salanterä S;Suominen H;Martinez D;Velupillai S;Elhadad N;Savova G;Pradhan S;Chapman WW
• 通讯作者: Chapman WW

Three-Year Nursing PhD Model Recommendations from the RWJF Future of Nursing Scholars.

• DOI: 10.3928/01484834-20211202-01
• 发表时间: 2022-01
• 期刊: The Journal of nursing education
• 作者: Rosa WE;Hartley K;Hassmiller SB;Frisch SO;Bennett SG;Breen K;Goldberg JI;Koschmann KS;Missel AL;de Campos AP;Pho AT;Rausch J;Schlak AE;Shook A;Tierney MK;Umberfield E;Fairman JA
• 通讯作者: Fairman JA

The Online Bioinformatics Resources Collection at the University of Pittsburgh Health Sciences Library System--a one-stop gateway to online bioinformatics databases and software tools.

匹兹堡大学健康科学图书馆系统的在线生物信息学资源收集 - 一个通往在线生物信息学数据库和软件工具的一站式门户。

• DOI: 10.1093/nar/gkl781
• 发表时间: 2007-01
• 期刊: NUCLEIC ACIDS RESEARCH
• 影响因子: 14.9
• 作者: Chen, Yi-Bu;Chattopadhyay, Ansuman;Bergen, Phillip;Gadd, Cynthia;Tannery, Nancy
• 通讯作者: Tannery, Nancy