A new study investigating the effect of thirdhand smoke (THS) in a mouse model system specially designed to mimic the genetic diversity of human populations has shed new light on how genetic predispositions contribute to an individual’s cancer risk. This work is an instrumental step towards building a more realistic understanding of how tobacco smoke residue could impact cancer risk in people.
Machine Learning Helps Link Chemical Exposure and Obesity
Scientists at Berkeley Lab and their collaborators developed a machine learning technique to discover obesity-related mixed chemical exposure patterns associated with environmental health risk in the general U.S. population. To assess this, they used indicators like body mass index and waist circumference.
Thirdhand Smoke Harms the Body More Than We Ever Realized
A new study found that concentrations of toxic chemicals lingering indoors where cigarettes have been smoked can exceed risk guidelines from the State of California. This means that non-smokers can be exposed to health risks by living in contaminated spaces.
Researchers at Berkeley Lab Advance Cancer Research Using Artificial Intelligence
BSE Researchers recently published two studies that will help oncologists more precisely understand the state of their patients’ disease or their risk for cancer relapse. As with many diseases, cancer can be challenging to predict and in some cases, impossible to treat. This work, however, is pushing the boundaries of how science and artificial intelligence (AI) can be used to better understand the risks and outcomes of cancer in human health.
Microbes to the Rescue
A team of researchers from the Biosciences Area at Berkeley Lab and the University of Birmingham in the United Kingdom found one particular organism in the fly’s microbiome that helps protect it from atrazine, an herbicide toxic to flies that is commonly used in agriculture. This method of rescuing fruit flies from atrazine poisoning with probiotics may be useful for protecting pollinators in agriculture.
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