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09.30.2014 SMART Genomics Precision Medicine App at Vanderbilt uses SMART Genomics API, wins FHIR Connectathon Grand Prize

September 30, 2014

The idea of the SMART Genomics: Precision Cancer Medicine app is to display population-level information about somatic cancer mutations relative to a single patient. For example, if a lung cancer patient has the EGFR exon 19 deletion, they and their clinician(s) might want to know how common EGFR mutations are compared to other gene mutations, and how often the exon 19 deletion is found compared to other variants. Read more about 09.30.2014 SMART Genomics Precision Medicine App at Vanderbilt uses SMART Genomics API, wins FHIR Connectathon Grand Prize

03.28.2014 AnalyticsWeek Unconference March 2014

March 24, 2014

During the week of March 24-28, 2014, The AnalyticsWeek Unconference was held in Boston with each day of a different track.

Gil Alterovitz, from Harvard Medical School, opened the keynote for health informatics track on Tuesday (March 25, 2014). He spread the the light on one of the big hole in health informatics and research domain around data- “Appifying analytics”. He explained bunch of amazing use cases on how the health industry could Read more about 03.28.2014 AnalyticsWeek Unconference March 2014

10.16.2013 Chapter in new book

October 16, 2013

Contribution to new book: Pathobiology of Cancer Regimen-Related Toxicities

Chapter Abstract: “The efficacy of chemotherapy depends on several different patient ­factors, including age, gender, ethnicity, and genetics. A patient’s genetic composition strongly influences how chemotherapeutic agents are absorbed, distributed, metabolized, and excreted by the body. Consequently, variations in genes that are responsible for these activities play a significant role in determining the prognostic outcome for patients. Studying and identifying these associated genes have been main foci of Read more about 10.16.2013 Chapter in new book

08.09.2013 Harvard Med Apps Use Genomic, Clinical Data to Assess Diabetes Risk; Improve Treatment Compliance

August 9, 2013

This week, researchers at Harvard Medical School's Biomedical Cybernetics Laboratory released two free iPad applications, available on iTunes, intended to help clinicians assess diabetes risk and improve treatment compliance in patients with the disease.

Gil Alterovitz, an assistant professor at Harvard Medical School and the HMS Center for Biomedical Informatics, told BioInform that he and colleagues developed the apps to provide a standardized method of communicating clinical and genetic information to physicians, caregivers, and patients ...

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