Big Data on a Smaller Scale in Healthcare – Data Science Central

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Big data is a term for data sets that are extremely large and complex that only a few short years ago were not capable of being processed with traditional data processing applications. Challenges in big data include the capture, search, sharing, storage, transfer, visualization, querying and privacy, among other concerns. Data sets are growing rapidly because there are increasingly more avenues for data including mobile devices, software logs, cameras, microphones, wireless networks, etc. The massive amounts of data available or "big data" can be overwhelming. The kinds of big data analytics performed by Google, Amazon, Yahoo and many others can be beyond the scope of our understanding or capabilities.


Mapping molecular neighborhoods

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At first glance, it seems counterintuitive. To learn more about how cells go awry causing disease, it seems logical to focus on the minutiae of a cell's molecular components: the specific genes, proteins, and small molecules that change over time leading to a disease state. Instead, Ernest Fraenkel, MIT associate professor in the Department of Biologic Engineering, first takes a macro view for finding new ways to understand and cure diseases. "When you are faced with making any sense of the 10,000 or 20,000 molecules that are present within a cell and evolve during disease, you need an entirely new approach to figure out what is really important among all the changes you see," Fraenkel explains. He develops computational and laboratory experimental methods to uncover the molecular pathways that go awry in disease and search for new strategies and intervention targets.


What Causes Autism? Flu Shot During Pregnancy Not Linked To Diagnosis In Children, New Study Finds

International Business Times

Receiving a flu shot while pregnant will not put a child at risk of later being diagnosed with autism. A new study published Tuesday in JAMA Pediatrics concluded that there is no link that finds the children of women who catch the flu while pregnant or receive a flu shot during pregnancy are later diagnosed with autism. The study pulled medical records from 196,929 children all born at the same Northern California hospital, Kaiser Permanente facilities, between 2000 and 2010. Of those, 3,101 were diagnosed with autism spectrum disorder, NPR reported. Although there was no direct link found in mothers who had the flu while pregnant and their child being diagnosed with autism, there was a slight increased risk for mothers who received a flu vaccine during their first trimester.


Could Pharmacists Help Fix Health Care?

Slate

But as costs continue to grow for health care systems here and around the world, pharmacists have become increasingly utilized as direct patient care providers, rather than just as overqualified dispensaries. Provinces across Canada have been using pharmacists for issues like emergency contraception counseling, colon cancer screening, and even treating minor ailments like acne and oral thrush. Here in the United States, Medicaid programs have deployed pharmacists as smoking-cessation counselors, patient educators, and diabetes case managers. Veterans Affairs uses clinical pharmacists to decrease waiting times for patients seeking care for chronic conditions, like high blood pressure and high cholesterol. Research suggests that pharmacists have increased flu vaccination rates, in states where they can give them.


IBM Watson aligns with 16 health systems and imaging firms to apply cognitive computing to battle cancer, diabetes, heart disease

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IBM Watson Health has formed a medical imaging collaborative with more than 15 leading healthcare organizations. The goal: To take on some of the most deadly diseases. The collaborative, which includes health systems, academic medical centers, ambulatory radiology providers and imaging technology companies, aims to help doctors address breast, lung, and other cancers; diabetes; eye health; brain disease; and heart disease and related conditions, such as stroke. Watson will mine insights from what IBM calls previously invisible unstructured imaging data and combine it with a broad variety of data from other sources, such as data from electronic health records, radiology and pathology reports, lab results, doctors' progress notes, medical journals, clinical care guidelines and published outcomes studies. As the work of the collaborative evolves, Watson's rationale and insights will evolve, informed by the latest combined thinking of the participating organizations.