Lifeboat Foundation

“We hope that the research can contribute to and complement the arsenal of techniques used to diagnose breast cancer and to generate a large amount of data associated with it that may be useful in trying to identify large-scale trends that could help diagnose breast cancer early,” George added.

The team next plans to combine CBE techniques learned from professionals with AI and fully equip IRIS with sensors to determine the effectiveness of the whole system in identifying potential cancer risks. The ultimate goal is to have the manipulator detect lumps more accurately and deeper than it is possible only by applying human touch.

This promising development could revolutionize how women monitor their breast health. With safe electronic CBEs located in easily accessible places like pharmacies and health centers, women could have access to accurate results and take a proactive approach to their health.

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.

View questions to ask your health care team, ways to manage your self-care, treatment and support resources, and hear from patients and caregivers with rare brain and spine tumors to guide you through your journey.

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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“That’s what’s driving all this – the availability of this technology and better patient care,” he said.

As many as 20–30% of the Knoxville-based health system’s patients could receive virtual care through the program.

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.”