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Global Clinical Research, Analytics and Study Design Platform.
Translating a Trillion Data Points into Therapies and New Insights into Disease.
There is an urgent need to take what we have learned in our new “genome era” and create Dr. Butte's lab at the University of California, San Francisco builds and applies tools that convert trillions points of molecular, clinical, and epidemiological data -- measured by researchers and clinicians over the past decade and now commonly termed “big data” -- into diagnostics, therapeutics, and new insights into disease. Dr. Butte, a computer scientist and pediatrician, will highlight how publicly-available molecular measurements to find new uses for drugs including drugs for inflammatory bowel disease and cancer, discovering new diagnostics for complications during pregnancy, and how the next generation of biotech companies might even start in your garage.
Big Biological Impacts From Big Data
In the life sciences, data can come in many forms, including information about genomic sequences, molecular pathways, and different populations of people. Those data create a potential bonanza, if scientists can overcome one stumbling block: how to handle the complexity of information. Tools and techniques for analyzing big data promise to mold massive mounds of information into a better understanding of the basic biological mechanisms and how the results can be applied in, for example, health care. http://www.sciencemag.org/site/products/lst_20140613.xhtml
Healthcare Is The Last Industry To Be Disrupted...
Here’s a video of Sarah Buhr of TechCrunch interviewing me at TechCrunch Disrupt in September. We talked about biotech investing and disruption in the healthcare industry. I am excited about these topics because we currently have a tremendous opportunity to change the way diseases are treated by using technology. Everything we do in our lives, from payments to shopping, has been disrupted by technology – yet the healthcare sector still lags behind. This is about to change. And the change will make all of our lives better.https://www.linkedin.com/pulse/healthcare-last-industry-disrupted-beth-seidenberg?trk=hp-feed-article-title-hpm
Data-Mining for New Treatments
Repurposing existing drugs for new uses is not a new thing, but when it happens, it’s usually little more than a happy accident—a lucky observation or a fortuitous mistake. Now, scientists are taking the chance out of the equation (see The Scientist’s recent feature on this topic). The latest in a string of efforts to streamline repurposing efforts, bioinformatician Atul Butte of Stanford University School of Medicine in California and his colleagues compiled a database that collates information on gene activity profiles for the 25,000+ human genes, and how they're affected by drugs and disease.http://www.the-scientist.com/?articles.view/articleNo/31049/title/Data-Mining-for-New-Treatments/
The Clinical Trials Innovation Prize - Winners Announced!
In their drive to get more out of clinical trials, the Bonnie J. Addorio Lung Cancer Foundation and Free to Breathe came together to launch the Clinical Trial Innovation Prize (CTIP). With a total of $75,000 available in prizes, this unique two-phase competition seeks to award innovative ideas to increase the number of cancer patients participating in clinical trials, in attempt to change the dismal statistic that only 3% of all cancer patients participate in trials.https://herox.com/news/427-the-clinical-trials-innovation-prize-winners-annou
Primary Care Genomics: The Next Clinical Wave?
Is the main barrier for in healthcare analyzing and connecting the massive amounts of data present in electronic medical records, or is it generating the right data at the right level? To really move healthcare forward, argues Michael Groner, VP of engineering and chief architect, and Trevor Heritage, we need to move research-level testing (whole exome sequencing, genomics, clinical proteomics) outside of the research environment and make it widely available to primary care physicians. According to Groner, only when we amass large collections of such data will the true value of big data analytics methods be realized in medicine.http://bigdatamedsci.com/2014/02/20/primary-care-genomics-the-next-clinical-wave/
Analytics is the wave of the future
While “Big Data” and analytics are among the most widely discussed topics in healthcare today, many healthcare organizations are still just beginning to grapple with why and how best they should incorporate analytics into their operations in order to better understand the reams of data new health IT is helping them collect.http://www.himssfuturecare.com/blog/analytics-wave-future
The future of health analytics: unlocking clinical and business value
Technology advances have provided health care organizations with myriad disparate systems from which to obtain information. From revenue cycle systems and supply chain management to human resource systems and data warehouses, the volume of available data – and the need to capture and process it – has exploded in recent years. Each new wave of innovation claims to simplify or streamline a process that the previous wave had supposedly made efficient or effective. Subsequently, there are so many versions of the truth it’s hard to tell which one is right.http://www.converge-health.com/sites/default/files/uploads/resources/white-papers/lshc-future-of-health-care-analytics.pdf
It's time for the next wave of healthcare analytics startups
“Big data” and analytics applied to healthcare is a hot area of investment. This year alone, roughly $200 million of venture capital dollars has been allocated to the space (according to Rock Health). I’m here to tell you that these glory days are gone.http://venturebeat.com/2014/10/03/its-time-for-the-next-wave-of-healthcare-analytics-startups/
Data virtualization key to healthcare's next wave
Fewer industries have reaped the benefits of today’s digital world more than healthcare. The digital revolution has streamlined access to data allowing for more accurate and comprehensive patient care across the care continuum. While most healthcare organizations have gained value from the digital revolution, most can’t reach ultimate integration nirvana due to data silos and disparate systems. In addition, recent mergers and acquisitions of large conglomerate healthcare networks, have resulted in duplicate systems of record that rely on proprietary code. Exacerbating the situation, joining these systems comes with strict HIPAA regulations and hurdles, as well as exorbitant price tags.http://www.healthcareitnews.com/blog/data-virtualization-key-healthcares-next-wave