ScienceDaily: Top Technology News |
- Neuroscience and big data: How to find simplicity in the brain
- Online screening for rare lung cancer mutation opens door to new kind of clinical trial
- Telestroke units improve stroke care in underserved areas
- Novel 'Man and Machine' decision support system makes malaria diagnostics more effective
| Neuroscience and big data: How to find simplicity in the brain Posted: 24 Aug 2014 12:23 PM PDT Scientists can now monitor and record the activity of hundreds of neurons concurrently in the brain, and ongoing technology developments promise to increase this number. However, simply recording the neural activity does not automatically lead to a clearer understanding of how the brain works. In a new article, researchers describe the scientific motivations for studying the activity of many neurons together, along with a class of machine learning algorithms for interpreting the activity.       |
| Online screening for rare lung cancer mutation opens door to new kind of clinical trial Posted: 22 Aug 2014 09:44 AM PDT Cancer subtypes are like rare diseases; a new kind of clinical trial uses Dr. Google to find enough needles in enough haystacks to test drug ponatinib against FGFR positive lung cancer.  |
| Telestroke units improve stroke care in underserved areas Posted: 21 Aug 2014 01:13 PM PDT Using telecommunications to connect stroke experts to stroke patients in rural areas continued to improve and sustain stroke care, according to new research. With the tele-medical linked Stroke Units, patients in regional hospitals had around-the-clock access to consultations with vascular neurologists at stroke centers, including evaluation of brain imaging and patient examination via videoconferencing when needed.  |
| Novel 'Man and Machine' decision support system makes malaria diagnostics more effective Posted: 21 Aug 2014 12:40 PM PDT A novel "man and machine" decision support system for diagnosing malaria infection has been developed by researchers. This innovative diagnostic aid is based on computer vision algorithms similar to those used in facial recognition systems combined with visualization of only the diagnostically most relevant areas. Tablet computers can be utilized in viewing the images.  |
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