Year 2020 Hopefully this is getting closer to a full antidote.
Temple researchers have identified the first genome to transmit the coronavirus.
In the field of molecular epidemiology, the worldwide scientific community has been sleuthing to solve the riddle of the early history of SARS-CoV-2.
A download site surreptitiously served Linux users malware that stole passwords and other sensitive information for more than three years until it finally went quiet, researchers said on Tuesday.
The site, freedownloadmanager[.]org, offered a benign version of a Linux offering known as the Free Download Manager. Starting in 2020, the same domain at times redirected users to the domain deb.fdmpkg[.]org, which served a malicious version of the app. The version available on the malicious domain contained a script that downloaded two executable files to the /var/tmp/crond and /var/tmp/bs file paths. The script then used the cron job scheduler to cause the file at /var/tmp/crond to launch every 10 minutes. With that, devices that had installed the booby-trapped version of Free Download Manager were permanently backdoored.
After accessing an IP address for the malicious domain, the backdoor launched a reverse shell that allowed the attackers to remotely control the infected device. Researchers from Kaspersky, the security firm that discovered the malware, then ran the backdoor on a lab device to observe how it behaved.
In a recent study published in Nutrients, a group of researchers investigated the interactions between individual diets and the gut microbiome in seven volunteers, leveraging technological advancements and machine learning to inform personalized nutrition strategies and potential therapeutic targets.
Study: Unraveling the Gut Microbiome–Diet Connection: Exploring the Impact of Digital Precision and Personalized Nutrition on Microbiota Composition and Host Physiology. Image Credit: ART-ur/Shutterstock.com.
About 10% of people living with myositis—a rare inflammatory disease in which the immune system attacks healthy muscle cells—also are at risk for developing cancer. Determining which patients need screening and close follow-up is difficult.
“We screen a lot of people aggressively, and possibly unnecessarily,” says rheumatologist Christopher Mecoli, M.D., M.H.S., director of research operations and physician lead for the Myositis Precision Medicine Center of Excellence. This can lead to potential harms for patients such as radiation exposure, anxiety and false-positive test results that indicate a person has cancer when they actually do not.
Synchronization in networks, from dancing groups to brain cells, is influenced by the structure of connections between its members. Recent research published in the Proceedings of the National Academy of Sciences reveals that the quality of synchronization depends on ‘walks’ within a network, with a higher number of convergent walks leading to poorer synchronization…
The chatbot’s reasoning was “at times medically implausible or inconsistent, which can lead to misinformation or incorrect diagnosis, with significant implications,” the report noted.
The scientists also admitted some shortcomings with the research. The sample size was small, with 30 cases examined. In addition, only relatively simple cases were looked at, with patients presenting a single primary complaint.
It was not clear how well the chatbot would fare with more complex cases. “The efficacy of ChatGPT in providing multiple distinct diagnoses for patients with complex or rare diseases remains unverified.”
Today’s blog is from guest contributors Alaric Wilson, Senior ISV Partner Development Manager, and Michael Gillett, Partner Technology Strategy Manager.
In the era of AI, every app has the potential to be intelligent. Independent Software Vendors (ISVs) are facing increasing pressure from customers to deliver innovative solutions that meet their demands with a more dynamic user experience. To stay competitive, ISVs are turning to cutting-edge technologies like generative AI to unlock new possibilities for their software development process. Azure OpenAI Service, powered by OpenAI’s advanced language models, is revolutionizing how ISVs innovate, providing them with unprecedented capabilities to create intelligent, adaptive, and highly customized applications.
Continue reading “Empowering ISV success: developing intelligent apps with Azure OpenAI” »
A new study says what should be obvious: people lose faith in relationships when their friends take shortcuts, AI-assisted or otherwise.
Mapping molecular structure to odor perception is a key challenge in olfaction. Here, we use graph neural networks (GNN) to generate a Principal Odor Map (POM) that preserves perceptual relationships and enables odor quality prediction for novel odorants. The model is as reliable as a human in describing odor quality: on a prospective validation set of 400 novel odorants, the model-generated odor profile more closely matched the trained panel mean (n=15) than did the median panelist. Applying simple, interpretable, theoretically-rooted transformations, the POM outperformed chemoinformatic models on several other odor prediction tasks, indicating that the POM successfully encoded a generalized map of structure-odor relationships. This approach broadly enables odor prediction and paves the way toward digitizing odors.
One-Sentence Summary An odor map achieves human-level odor description performance and generalizes to diverse odor-prediction tasks.
The authors have declared no competing interest.
The idea that genetic modification can improve humanity isn’t new, but it has taken some interesting turns within the scientific community over the past few years. One of the most notable comes from the mind of He Jiankui, a Chinese scientist whose gene editing of human babies led to infamy and a prison sentence. Now, He, known as JK to friends, thinks that gene-edited humans could be the future of our species.
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Mapping molecular structure to odor perception is a key challenge in olfaction. Here, we use graph neural networks (GNN) to generate a Principal Odor Map (POM) that preserves perceptual relationships and enables odor quality prediction for novel odorants. The model is as reliable as a human in describing odor quality: on a prospective validation set of 400 novel odorants, the model-generated odor profile more closely matched the trained panel mean (n=15) than did the median panelist. Applying simple, interpretable, theoretically-rooted transformations, the POM outperformed chemoinformatic models on several other odor prediction tasks, indicating that the POM successfully encoded a generalized map of structure-odor relationships. This approach broadly enables odor prediction and paves the way toward digitizing odors.
