Summary: Researchers developed a machine learning algorithm, FoodProX, capable of predicting the degree of processing in food products.
The tool scores foods on a scale from zero (minimally or unprocessed) to 100 (highly ultra-processed). FoodProX bridges gaps in existing nutrient databases, providing higher resolution analysis of processed foods.
This development is a significant advancement for researchers examining the health impacts of processed foods.
Is the Quantum for Bio Program Director, at Wellcome Leap (https://wellcomeleap.org/our-team/elicakyoseva/), a $40M +$10M program focused on identifying, developing, and demonstrating biology and healthcare applications that will benefit from the quantum computers expected to emerge in the next 3–5 years.
Wellcome Leap was established with $300 million in initial funding from the Wellcome Trust, the UK charitable foundation, to accelerate discovery and innovation for the benefit of human health, focusing on build bold, unconventional programs and fund them at scale—specifically programs that target global human health challenges, with the goal of achieving breakthrough scientific and technological solutions.
Dr. Kyoseva completed her Ph.D. in Quantum Optics and Information, at Sofia University in Bulgaria, and then moved to the Center for Quantum Technologies in Singapore as a postdoc. Three years later, she established her own research group in Quantum Engineering at the Singapore University of Tech & Design and subsequently spent a year at MIT (Cambridge, USA) as a Research Fellow in the Nuclear Science and Engineering Department doing research on quantum control and engineering.
In 2016, Dr. Kyoseva was awarded a Marie Curie fellowship for research excellence by the European Commission with which she relocated to Tel Aviv, Israel and continued her research in robust control methods for Quantum Computing at Tel Aviv University. Since the beginning of 2020 she served as an Entrepreneur in Residence and Advisor at a venture capital firm and was instrumental for their investments in quantum computing startups. In September 2020, she took a senior role with Boehringer Ingelheim to develop applications of quantum algorithms to the drug discovery process working on the cutting edge of applied quantum computing technologies to improve the lives of both humans and animals.
Additionally to her scientific career, Dr. Kyoseva is very passionate about ending gender inequality in the STEM fields and served as a STEM Ambassador to the UN Women Singapore Committee for 2 years. Currently, she is the Managing Director for Israel of the global non-profit organization Girls in Tech and on the Advisory Board of She Quantum and works towards encouraging more girls and women to pursue a career in Quantum Computing.
A new study finds a chemical formed when we digest a widely used sweetener is “genotoxic,” meaning it breaks up DNA. The chemical is also found in trace amounts in the sweetener itself, and the finding raises questions about how the sweetener may contribute to health problems.
At issue is sucralose, a widely used artificial sweetener sold under the trade name Splenda®. Previous work by the same research team established that several fat-soluble compounds are produced in the gut after sucralose ingestion. One of these compounds is sucralose-6-acetate.
Our new work establishes that sucralose-6-acetate is genotoxic. We also found that trace amounts of sucralose-6-acetate can be found in off-the-shelf sucralose, even before it is consumed and metabolized.
A drug that was originally developed to treat diabetes and severe overweight might also help people with nicotine dependence, concludes new research from the University of Copenhagen.
Smoking is one of the greatest threats to public health. According to new data from the Danish Health Authority, 15,920 Danes die every year because of their addiction to cigarettes.
Diabetes — specifically type 2 diabetes— is becoming one of the most challenging health problems of the 21st century. By 2,025,380 million people worldwide are also expected to be diagnosed with diabetes.
In a recent study published in the Open Forum Infectious Diseases, researchers assess the resistance of uropathogenic Escherichia coli (UPEC) over time in adults who received uncomplicated urinary tract infections (uUTIs) outpatient care.
Study: Multi-drug resistance of Escherichia coli from outpatient uncomplicated urinary tract infections in a large U.S. integrated health care organization. Image Credit: 220 Selfmade studio / Shutterstock.com.
Israeli-based health tech company Cordio has developed machine learning software that can be downloaded to a smartphone and help keeps cardiac patients out of the hospital.
One day in the future.
It’s a simple daily habit that could save their life, because one day after repeating their daily refrain, their doctor might be notified that a patient is at risk of heart failure without immediate care.
Israeli-based company Cordio has developed machine learning software that can be downloaded to a smartphone and help keeps cardiac patients out of the hospital.
A recent study published in the journal Scientific Reports assessed the associations between the change in total cholesterol (TC) levels after type 2 diabetes (T2D) diagnosis (relative to pre-diagnosis levels) and the risk of cardiovascular disease (CVD).
CVD is the global leading cause of mortality. T2D is a gateway disease to CVD. A study revealed higher coronary heart disease (CHD) and stroke risks in diabetes patients than in non-diabetic individuals. The global prevalence of T2D is expected to exceed 10% by 2030. Therefore, preventing CVD in people with diabetes could be of public health significance.
Hypercholesterolemia is a significant risk factor for CVD, and its adverse effects on CVD could be more evident in individuals with metabolic conditions, e.g., T2D. Diabetes patients may be more susceptible to hypercholesterolemia’s negative impact on CVD risk. Nonetheless, T2D diagnosis often results in positive lifestyle changes helping reduce hypercholesterolemia or CVD risk.
Billionaire Elon Musk took a dig at fellow billionaire and Microsoft co-founder Bill Gates over his knowledge of artificial intelligence (AI). He insisted that Mr. Gates has a “limited” understanding of AI.
This was in response to a tweet by Sandy Kory, who praised the leadership of Mr. Gates at Microsoft and his approach toward AI. “‘I’d been meeting with the team from OpenAI since 2016…” –from Bill Gates’ essay, The Age of AI Has Begun. It’s big when someone like Gates is so bullish on AI. Also notable that MSFT has been tracking this so closely for so long,” he said.
Mr. Kory was referring to a long, 3,639-word essay the billionaire wrote on his blog titled “The Age of A.I. Has Begun”. He wrote about how humanity was waiting for another great revolution. Mr. Gates discussed the potential impact of AI on employment, health care, and education.