Sepsis is a serious medical condition that occurs when the body releases the full force of the immune system in response to an infection. The immune chemicals trigger widespread inflammation that can result in impaired blood flow and thus leading to failure of the body's organs. This disease is consuming major cost for the healthcare industry. Here Data Analytics has stepped in and provided a solution. The solution consists of a disposable wireless Band-Aid-like biosensor (the FDA-certified HealthPatch), which helps in real-time processing of patient data, and consumable analysis that allows medical professionals to take immediate action.
 The smartphone app transmits the patient clinical data to a cloud-based repository, where it is integrated with existing patient data from other data sources (NoSQL and SQL-based data sources, premium data sources, etc.). For more information visit:
http://www.cio.com/article/2949854/big-data/how-big-data-analytics-help-hospitals-stop-a-killer.html

Cancer is a disease that had killed many people in past decades. Few years back it was not possible to treat a patient suffering from cancer. Now doctors have treatment of cancer. But it could more easier with the help of big data. Let us see how big data make it easier. 

Doctors collect data from pre and post treatment of patients. Predictive models can be formed using the extensive data that can help doctors to analyze whether a treatment is success or failure for some set of patients. There are some advancements where AI is used in diagnosis and treatment of cancer. With the help of big data analytics doctors can see which drugs are most effective in treatment. Also running analytical models doctors can find which drugs are not necessary and significant. Only necessary drugs can be used to target the specific forms of cancer. The systematic and data driven view for looking at cancer has increased the potential for its prevention. Read more at:https://channels.theinnovationenterprise.com/articles/big-data-in-cancer-revisited