Showing posts with label algorithm. Show all posts
Showing posts with label algorithm. Show all posts

Tuesday, September 29, 2015

Pulmonary Research: Immunotherapy superior to chemotherapy for lung cancer ♦ Rapid testing for TB aims to reduce drug resistance ♦ Algorithm interprets breathing difficulties

Algorithm interprets breathing difficulties to aid in medical care Researchers have developed an efficient algorithm that can interpret the wheezing of patients with breathing difficulties to give medical providers information about what's happening in the lungs. The work is part of a larger, ongoing project to develop wearable smart medical sensors for monitoring, collecting and interpreting personal health data.
Drug for fungal infections in lung transplant recipients increases risk for cancer, death Voriconazole, a prescription drug commonly used to treat fungal infections in lung transplant recipients, significantly increases the risk for skin cancer and even death.
Rapid testing for TB aims to reduce drug resistance, lower mortality rate Researchers have documented the accuracies of three new tests for more rapidly diagnosing drug-resistant forms of tuberculosis (TB), which are much harder and more expensive to treat and which represent a major threat to global public health.
First UK Biobank genetic study reveals new links between lung disease and smoking behavior Smokers who survive their habit into old age may hold the key to better lung health for all. The new discoveries may one day help scientists develop better treatments for diseases such as chronic obstructive pulmonary disease (COPD), a life-threatening condition that affects millions of people.
Immunotherapy superior to chemotherapy for lung cancer in international trial "Game-changing results” have been announced by a team of scientists using the immunotherapy drug nivolumab to treat certain lung cancers that failed to respond to first-line therapies

Friday, August 7, 2015

Health Research::Computer algorithm can forecast patients' deadly sepsis ♦ People with type 2 diabetes benefit from blood glucose self-monitoring

Computer algorithm can forecast patients' deadly sepsis A new computer-based method correctly predicts septic shock in 85 percent of cases, without increasing the false positive rate from screening methods that are common now.
New medical research reporting requirements may lead to fewer positive outcomes The adoption of new transparent reporting standards may have contributed to a significant reduction in the percentage of studies reporting positive research findings among large-budget clinical trials.
How makerspaces can be accessible to people with disabilities Researchers have released new guidelines to make Maker Spaces more accessible to people with disabilities, as these communal spaces with soldering irons, 3-D printers, sewing machines and other "making" tools continue to pop up nationwide.
Role of intra-abdominal fat in IBD uncovered Intra-abdominal fat cells may contribute to the development and progression of inflammatory bowel disease (IBD’)
High salt intake could be a risk factor for multiple sclerosis Here's another reason to put the salt shaker down: New research involving mice shows that diets high in sodium may be a novel risk factor in the development of multiple sclerosis (MS) by influencing immune cells that cause the disease.
People with type 2 diabetes benefit from blood glucose self-monitoring People with type 2 diabetes can lower their blood sugar if they follow a personalized blood glucose monitoring schedule, even if they don’t use insulin,