A distinguished group of panelists engaging in a vibrant discussion about mentoring, careers, and more.
Speakers: Dr. Vijay Vasudevan, Dr. Monika Mitra, Dr. Michael McKee.
A distinguished group of panelists engaging in a vibrant discussion about mentoring, careers, and more.
Speakers: Dr. Vijay Vasudevan, Dr. Monika Mitra, Dr. Michael McKee.
Google Maps can now calculate rooftops’ solar potential, track air quality, and forecast pollen counts.
The platform recently launched a range of services like Solar API, which calculates weather patterns and pulls data from aerial imagery to help understand rooftops’ solar potential. The tool aims to help accelerate solar panel deployment by improving accuracy and reducing the number of site visits needed.
As seasonal allergies get worse every year, Pollen API shows updated information on the most common allergens in 65 countries by using a mix of machine learning and wind patterns. Similarly, Air Quality API provides detailed information on local air quality by utilizing data from multiple sources, like government monitoring stations, satellites, live traffic, and more, and can show areas affected by wildfires too.
Advances in imaging technologies are giving physicians unprecedented insights into disease states, but fragmented and siloed information technology systems make it difficult to provide the personalized, coordinated care that patients expect.
In the field of medical imaging, health care providers began replacing radiographic films with digital images stored in a picture and archiving communication system (PACS) in the 1980s. As this wave of digitization progressed, individual departments—ranging from cardiology to pathology to nuclear medicine, orthopedics, and beyond—began acquiring their own, distinct IT solutions.
UMass Amherst researchers have pushed forward the boundaries of biomedical engineering one hundredfold with a new method for DNA detection with unprecedented sensitivity.
“DNA detection is in the center of bioengineering,” says Jinglei Ping, lead author of the paper that appeared in Proceedings of the National Academy of Sciences.
Ping is an assistant professor of mechanical and industrial engineering, an adjunct assistant professor in biomedical engineering and affiliated with the Center for Personalized Health Monitoring of the Institute for Applied Life Sciences. “Everyone wants to detect the DNA at a low concentration with a high sensitivity. And we just developed this method to improve the sensitivity by about 100 times with no cost.”
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Researchers at Baylor College of Medicine and Rice University received a grant for more than $3.9 million over five years from the National Institutes of Health’s Office of Research Infrastructure Programs to establish the Baylor/Rice Genome Editing Testing Center (GETC). The new center will assist investigators from across the country with somatic cell genome editing experiments in mouse models.
Somatic cell genome editing, the ability to edit DNA within the body’s non-reproductive cells, is a promising potential treatment for the most severe human diseases. Over the last decade, significant effort has gone into developing more effective genome editing systems and methods of delivery to specific cells and organs. However, many of these new technologies do not progress to use in humans because there is insufficient evidence from animal models supporting their effectiveness.
“Our center will provide mouse model resources and genome editing testing pipelines to researchers who are developing new genome editing and delivery technologies but need assistance with conducting preclinical animal studies,” said Dr. Jason Heaney, co-principal investigator and associate professor of molecular and human genetics at Baylor. “Our goal is to help generate the animal model data needed to demonstrate the therapeutic potential of these cutting-edge technologies.”
Who knows? Maybe this is a way for giving commands to a computer/AI instead of implants if further developed in the future.
The streaming data from these biosensors can be used for health monitoring and diagnosis of neuro-degenerative conditions.
A pair of earbuds can be turned into a tool to record the electrical activity of the brain as well as levels of lactate in the body with the addition of two flexible sensors screen-printed onto a stamp-like flexible surface.
The sensors can communicate with the earbuds, which then wirelessly transmit the data gathered for visualization and further analysis, either on a smartphone or a laptop. The data can be used for long-term health monitoring and to detect long-term neuro-degenerative conditions.
That’s good news if it becomes successful! Cancer is such an awful disease.
There’ll be an app for that.
Curing cancer could soon be as easy as a few taps on your mobile, according to a team of scientists at Rice University who have received $45 million in funding for a novel, implant-based treatment system that could cut cancer death rates by 50%.
The funds, granted by the Advanced Research Projects Agency for Health, will be used to develop “sense-and-respond implant technology,” with the aim to improve the outcomes of immunotherapy treatments for cancers that are usually difficult to treat.