Abstracts should not exceed 500 words in length.
File type: Abstracts can be submitted as .doc, .docx or .pdf files
Review Process: A transdisciplinary panel will review all contributions. Accepted abstracts will be invited either for oral, poster or demo presentations.
Background: The abstract should begin by explaining the clinical (or other) importance of the study question. This should be brief and can include citations (if citations are included, a reference section — not included in the page limit– should be attached).
Purpose: State the precise objective or study question addressed in the report (eg, “To determine whether…”). If more than 1 objective is addressed, the main objective should be indicated and only key secondary objectives stated. If an a priori hypothesis was tested, it should be stated.
Methods: Describe the basic design of the study. Describe the study setting to assist readers to determine the applicability of the report to other circumstances, for example, general community, a primary care or referral center, private or institutional practice, or ambulatory or hospitalized care. The numbers of participants and how they were selected should be provided, including the number of otherwise eligible individuals who were approached but refused.
State the clinical disorders, important eligibility criteria, and key sociodemographic features of patients/participants. If matching is used for comparison groups, characteristics that are matched should be specified. In follow-up studies, state the timing of follow-up and the proportion of participants who completed the study. In intervention studies, the number of patients withdrawn because of adverse effects should be given.
For selection procedures, these terms should be used, if appropriate: random sample (where random refers to a formal, randomized selection in which all eligible individuals have a fixed and usually equal chance of selection); population-based sample; referred sample; consecutive sample; volunteer sample; convenience sample. If an intervention is employed, the essential features should be described, including their method and duration of administration.
Finally, indicate the primary study outcome measurement(s) as planned before data collection began. State clearly if the hypothesis being tested was formulated during or after data collection. Explain outcomes or measurements unfamiliar to a general health readership.
Results: The main outcomes of the study should be reported and quantified, including baseline characteristics and final included/analyzed sample. Include absolute numbers, along with confidence intervals (for example, 95%) or P values. Approaches such as number needed to treat to achieve a unit of benefit may be included when appropriate. Measures of relative risk also may be reported (e.g., relative risk, hazard ratios) and should include confidence intervals. Studies of screening and diagnostic tests should report sensitivity, specificity, and likelihood ratio.
Conclusions: Provide only conclusions of the study directly supported by the results, along with implications for health research or practice, avoiding speculation and overgeneralization. Indicate whether additional study is required before the information should be used in usual clinical settings. Give equal emphasis to positive and negative findings of equal scientific merit.
File type: Abstracts can be submitted as .doc, .docx or .pdf files
Review Process: A transdisciplinary panel will review all contributions. Accepted abstracts will be invited either for oral, poster or demo presentations.
Background: The abstract should begin by explaining the clinical (or other) importance of the study question. This should be brief and can include citations (if citations are included, a reference section — not included in the page limit– should be attached).
Purpose: State the precise objective or study question addressed in the report (eg, “To determine whether…”). If more than 1 objective is addressed, the main objective should be indicated and only key secondary objectives stated. If an a priori hypothesis was tested, it should be stated.
Methods: Describe the basic design of the study. Describe the study setting to assist readers to determine the applicability of the report to other circumstances, for example, general community, a primary care or referral center, private or institutional practice, or ambulatory or hospitalized care. The numbers of participants and how they were selected should be provided, including the number of otherwise eligible individuals who were approached but refused.
State the clinical disorders, important eligibility criteria, and key sociodemographic features of patients/participants. If matching is used for comparison groups, characteristics that are matched should be specified. In follow-up studies, state the timing of follow-up and the proportion of participants who completed the study. In intervention studies, the number of patients withdrawn because of adverse effects should be given.
For selection procedures, these terms should be used, if appropriate: random sample (where random refers to a formal, randomized selection in which all eligible individuals have a fixed and usually equal chance of selection); population-based sample; referred sample; consecutive sample; volunteer sample; convenience sample. If an intervention is employed, the essential features should be described, including their method and duration of administration.
Finally, indicate the primary study outcome measurement(s) as planned before data collection began. State clearly if the hypothesis being tested was formulated during or after data collection. Explain outcomes or measurements unfamiliar to a general health readership.
Results: The main outcomes of the study should be reported and quantified, including baseline characteristics and final included/analyzed sample. Include absolute numbers, along with confidence intervals (for example, 95%) or P values. Approaches such as number needed to treat to achieve a unit of benefit may be included when appropriate. Measures of relative risk also may be reported (e.g., relative risk, hazard ratios) and should include confidence intervals. Studies of screening and diagnostic tests should report sensitivity, specificity, and likelihood ratio.
Conclusions: Provide only conclusions of the study directly supported by the results, along with implications for health research or practice, avoiding speculation and overgeneralization. Indicate whether additional study is required before the information should be used in usual clinical settings. Give equal emphasis to positive and negative findings of equal scientific merit.
World Cancer Resarch Fund International research grant
Apply for a research grant
Our grant programme groups research into two themes – cancer prevention and cancer survivors. Each of these areas may be addressed either from the perspective of identifying the mechanisms that underpin the effect of diet, nutrition and physical activity on cancer, or by addressing the host factors that influence individual susceptibility to cancer development or progression, and so contribute to explaining variability between people in outcomes.For cancer survivors, we also encourage broader research into causal links between diet, nutrition (including body composition), physical activity and outcomes after cancer diagnosis, as robust evidence on this is still lacking. The research principles and themes we are looking for are illustrated in this graphic
Apply for a research grant
Our grant programme groups research into two themes – cancer prevention and cancer survivors. Each of these areas may be addressed either from the perspective of identifying the mechanisms that underpin the effect of diet, nutrition and physical activity on cancer, or by addressing the host factors that influence individual susceptibility to cancer development or progression, and so contribute to explaining variability between people in outcomes.For cancer survivors, we also encourage broader research into causal links between diet, nutrition (including body composition), physical activity and outcomes after cancer diagnosis, as robust evidence on this is still lacking. The research principles and themes we are looking for are illustrated in this graphic
New Research
redo_program_dsm_4-23-18.pdf April 25, 2018
First USC mHealth Symposium (event)
(download agenda here)
First USC mHealth Symposium (event)
(download agenda here)
April 25, 2018 First USC mHealth Symposium
EventsThe USC mHealth Collaboratory Presents: Inaugural Mobile/Connected Health Symposium is April 25, 2018. Featured Speakers Include: Wendy Nilsen, PhD Director for the Smart & Connected Health Program at The National Science Foundation, Dr. Sajjad Yacoob, MD Chief Medical Director, Ambulatory Services at Children’s Hospital of Los Angeles and Skip Rizzo, PhD from USC’s Institute of Creative Technologies. DETAILS here.
Join the April 25, 2018 First USC mHealth Symposium Live Stream now
Keynote announced for Inaugural Mobile/Connected Health Symposium
Dr. Wendy Nilsen, National Science Foundation
USC mHealth Collaboratory Presents: Inaugural Mobile/Connected Health Symposium
April 25, 2018
SUBMISSIONS OPEN ON January 5 and close on April 1, 2018.
Best student poster prize
Hot topics mHealth panels
Top Keynote speakers (TBA)
April 25, 2018
SUBMISSIONS OPEN ON January 5 and close on April 1, 2018.
Best student poster prize
Hot topics mHealth panels
Top Keynote speakers (TBA)
This is What the Future of Health Care Looks Like
Michael Russell
#89305 Research Program ManagerFiling Deadline: Thu 8/17/2017
Apply Now UCSD Layoff from Career Appointment: Apply by 8/7/17 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Eligible Disability Counseling and Consulting services (DCC) or Special Selection clients should contact their Vocational Rehabilitation Counselor for assistance.
DESCRIPTION
Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences. Biomedical informatics researchers develop new methods to integrate and analyze vast amounts of data generated in the laboratory, clinical and translational research, clinical encounters, and population studies.
The goals of the Department of Biomedical Informatics are to (1) promote excellence in biomedical informatics research, (2) collaborate with biomedical researchers in developing new quantitative methods that enable the formulation and testing of original hypotheses, (3) train the next generation of biomedical informatics specialists, and (4) interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research.
This department leads multiple federally and non-profit funded biomedical research projects, which are focused on the integration, analysis, and sharing of biomedical and health care data for the scientific community, as well as patient-centered research. In addition, the department runs a complex computational infrastructure that allows access and analysis of these data in a privacy-preserving manner.
Under the general supervision of the DBMI faculty member, the Research Program Manager will primarily be responsible for work direction, execution, coordination, and management of research and intervention studies related to family behavior routine, child obesity prevention, mobile health, sensor-based technology, outreach to Latino communities, and human-computer interaction. Responsibilities include research project coordination, project communications, execution of research studies including data collection and analysis, write up for publication, and mentoring research volunteers who are undergraduate and graduate students. Make significant contributions toward report development and data review to present results to PI and study sponsors and collaborators. We expect regular communication with program stakeholders and with research teams at project sites.
MINIMUM QUALIFICATIONS
UC San Diego Health is the only academic health system in the San Diego region, providing leading-edge care in patient care, biomedical research, education, and community service. Our facilities include two university hospitals, a National Cancer Institute-designated Comprehensive Cancer Center, Shiley Eye Institute, Sulpizio Cardiovascular Center, and several outpatient clinics. UC San Diego Medical Center in Hillcrest is a designated Level I Trauma Center and has the only Burn Center in the county. U.S. News and World Report’s annual "America’s Best Hospitals" report has repeatedly ranked UC San Diego Health as the #1 health system in San Diego. We invite you to join our dynamic team!
Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.
UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html
Apply Now UCSD Layoff from Career Appointment: Apply by 8/7/17 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Eligible Disability Counseling and Consulting services (DCC) or Special Selection clients should contact their Vocational Rehabilitation Counselor for assistance.
DESCRIPTION
Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences. Biomedical informatics researchers develop new methods to integrate and analyze vast amounts of data generated in the laboratory, clinical and translational research, clinical encounters, and population studies.
The goals of the Department of Biomedical Informatics are to (1) promote excellence in biomedical informatics research, (2) collaborate with biomedical researchers in developing new quantitative methods that enable the formulation and testing of original hypotheses, (3) train the next generation of biomedical informatics specialists, and (4) interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research.
This department leads multiple federally and non-profit funded biomedical research projects, which are focused on the integration, analysis, and sharing of biomedical and health care data for the scientific community, as well as patient-centered research. In addition, the department runs a complex computational infrastructure that allows access and analysis of these data in a privacy-preserving manner.
Under the general supervision of the DBMI faculty member, the Research Program Manager will primarily be responsible for work direction, execution, coordination, and management of research and intervention studies related to family behavior routine, child obesity prevention, mobile health, sensor-based technology, outreach to Latino communities, and human-computer interaction. Responsibilities include research project coordination, project communications, execution of research studies including data collection and analysis, write up for publication, and mentoring research volunteers who are undergraduate and graduate students. Make significant contributions toward report development and data review to present results to PI and study sponsors and collaborators. We expect regular communication with program stakeholders and with research teams at project sites.
MINIMUM QUALIFICATIONS
- Strong working experience in a research setting using protocols involving human subjects including knowledge of UCSD Human Research Protections Program (HRPP) issues.
- Demonstrated knowledge of, and experience working with Institutional Review Boards (IRB) or equivalent ethical review committees.
- Knowledge of qualitative research methods and proven experience using qualitative software applications such as ATLAS.ti or NVivio.
- Knowledge of basic quantitative research methods and proven experience using statistics software applications such as R or SPSS.
- Proven experience conducting field based qualitative research.
- Demonstrated experience with manuscript preparation and submission.
- Proven experience in research data management and quality control.
- Demonstrated experience conducting comprehensive literature reviews utilizing multiple sources of media. Excellent writing and editorial skills.
- MPH or PhD or equivalent in the areas of behavioral health and technology (e.g., public health, behavior change, health informatics, health communication, epidemiology, family medicine, psychology, sociology).
- Fluency in English and Spanish (both speaking and writing) highly preferred.
SPECIAL CONDITIONS
- Ability to drive/travel independently to Chula Vista or other parts of San Diego--Must have access to reliable transportation.
- Occasional evenings and weekends may be required.
UC San Diego Health is the only academic health system in the San Diego region, providing leading-edge care in patient care, biomedical research, education, and community service. Our facilities include two university hospitals, a National Cancer Institute-designated Comprehensive Cancer Center, Shiley Eye Institute, Sulpizio Cardiovascular Center, and several outpatient clinics. UC San Diego Medical Center in Hillcrest is a designated Level I Trauma Center and has the only Burn Center in the county. U.S. News and World Report’s annual "America’s Best Hospitals" report has repeatedly ranked UC San Diego Health as the #1 health system in San Diego. We invite you to join our dynamic team!
Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.
UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html
Health Data Exploration Project
A Robert Wood Johnson Foundation & California Institute for Telecommunications and Information Technology Research Initiative
Webinar: Citizen Science with Dr. Andrea Wiggins
Available now at hdexplore.calit2.net
Join Dr. Andrea Wiggins from the University of Maryland College of Information Studies for a thorough discussion on the role of technologies in citizen science, and how ordinary people become involved in meaningful real-world research through citizen science projects, and how technologies can help. READ MORE
The 3rd ACM Workshop on Wearable Systems and Applications (WearSys) will be held at the beautiful Niagara Falls (USA) on 19th June 2017.
We invite submissions in the form of papers (6pg limit) or posters/demos (2pg limit) until a deadline of 21 March 2017.
This year we are privileged and happy to have Prof. Santosh Kumar, Director of NIH Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), Univ of Memphis, USA to give a keynote at WearSys. The program will also include talks from scholars and experts from diverse areas.
The goal of this workshop is to diversify across disciplines. We hope that this workshops also attracts audience from the health and medical community thus providing complementary knowledge to the mobile and wearables community in computer science and engineering. We hence strongly encourage submissions from the medical domain as well.
The call for submissions is copied below. Looking forward to your submissions.
For any questions you can email <aashok@gsu.edu>
A Robert Wood Johnson Foundation & California Institute for Telecommunications and Information Technology Research Initiative
Webinar: Citizen Science with Dr. Andrea Wiggins
Available now at hdexplore.calit2.net
Join Dr. Andrea Wiggins from the University of Maryland College of Information Studies for a thorough discussion on the role of technologies in citizen science, and how ordinary people become involved in meaningful real-world research through citizen science projects, and how technologies can help. READ MORE
The 3rd ACM Workshop on Wearable Systems and Applications (WearSys) will be held at the beautiful Niagara Falls (USA) on 19th June 2017.
We invite submissions in the form of papers (6pg limit) or posters/demos (2pg limit) until a deadline of 21 March 2017.
This year we are privileged and happy to have Prof. Santosh Kumar, Director of NIH Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), Univ of Memphis, USA to give a keynote at WearSys. The program will also include talks from scholars and experts from diverse areas.
The goal of this workshop is to diversify across disciplines. We hope that this workshops also attracts audience from the health and medical community thus providing complementary knowledge to the mobile and wearables community in computer science and engineering. We hence strongly encourage submissions from the medical domain as well.
The call for submissions is copied below. Looking forward to your submissions.
For any questions you can email <aashok@gsu.edu>
Dr. Andrea Wiggins
Microsoft's concept smartglasses will warn you to step away from that burger
Health Data Exploration Project
A Robert Wood Johnson Foundation & California Institute for Telecommunications and Information Technology Research Initiative
Webinar: Citizen Science with Dr. Andrea Wiggins
Available now at hdexplore.calit2.net
Join Dr. Andrea Wiggins from the University of Maryland College of Information Studies for a thorough discussion on the role of technologies in citizen science, and how ordinary people become involved in meaningful real-world research through citizen science projects, and how technologies can help. READ MORE
This collaboratory unites schools, faculty and students across USC and beyond. We’re a forum, a showcase, an incubator where researchers, designers, students, industry and IT can collaborate to dream big.
To learn more, browse through our site. And please email us to sign up for our mailing list at mHealth@usc.edu.
A Robert Wood Johnson Foundation & California Institute for Telecommunications and Information Technology Research Initiative
Webinar: Citizen Science with Dr. Andrea Wiggins
Available now at hdexplore.calit2.net
Join Dr. Andrea Wiggins from the University of Maryland College of Information Studies for a thorough discussion on the role of technologies in citizen science, and how ordinary people become involved in meaningful real-world research through citizen science projects, and how technologies can help. READ MORE
This collaboratory unites schools, faculty and students across USC and beyond. We’re a forum, a showcase, an incubator where researchers, designers, students, industry and IT can collaborate to dream big.
To learn more, browse through our site. And please email us to sign up for our mailing list at mHealth@usc.edu.