Researchers at the University of Houston unveiled an advancement in X-ray imaging technology that could provide significant improvements in medical diagnostics, materials and industrial imaging, transportation security and other applications.
Bracha et al.
Toxoplasma gondii culture and maintenance.
Type I RH and type II Pru and ME49 strain T. gondii were grown in HFF in high-glucose Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 4 mM l-glutamine, 10% fetal bovine serum (FBS) and 1% penicillin/streptomycin or 20 μg ml−1 gentamicin antibiotics (‘complete DMEM’) at 37 °C with 5% CO2. Cultures were monitored daily and T. gondii were passaged by transferring 1–3 drops (20–100 μl) of the supernatant of a lysed dish (containing extracellular parasites) into a fresh dish with confluent HFF cells. Type I RH and type II Pru strains were validated by PCR–restriction-fragment length polymorphism (primers described in Supplementary Table 1)81 or by passage into Cre Reporter cell lines to confirm Cre recombination as previously described16.
Leonard Rome’s lab discovered an odd, abundant component of cells in the 1980s—and he’s still trying to figure out what it does.
Understanding the molecular changes underlying aging is important for developing biomarkers and healthy aging interventions. In this study, the authors used comprehensive multi-omics data to reveal nonlinear molecular profiles across chronological ages, highlighting two substantial variations observed around ages 40 and 60, which are linked to increased disease risks.
The uptake of artificial intelligence (AI), computer vision and machine learning has been high in some industries, such as retail (see AiFi and Standard AI) and automotive (see Waymo and Tesla), but we’re now starting to see it break into some of the most critical aspects of society.
The recent accelerations in healthcare are perhaps the best example of this. Over 90% of hospitals and healthcare systems now have an AI or automation strategy in place, up from 53% in 2019, and “the global market for surgical robotics and computer-assisted surgery is anticipated to grow from $6.1 billion in 2020 to $11.6 billion by 2025.”
AI is starting to become more than just a buzzword. At this very moment, we’re starting to see AI-enhanced advanced tooling augment human capabilities and reshape how surgical procedures are planned, executed and managed. With aging populations, rising costs, lack of medical staff and backlogs worse than ever (almost 8 million people in the U.K.), the demand for AI-driven efficiency and surgery precision is escalating like never before.
New AI system uses tongue color images to accurately diagnose diseases:
AI analyzes tongue colors for real-time disease diagnoses such as anemia, COVID-19, vascular and gastrointestinal issues, or asthma.
DNA, or deoxyribonucleic acid, is the molecular system responsible for carrying genetic information in living organisms, utilizing its two helical strands to transcribe and amplify this information. Scientists are highly interested in developing artificial molecular systems that can match or even exceed the functionality of DNA. Double-helical foldamers represent one such promising molecular system.
Helical foldamers are a class of artificial molecules that fold into well-defined helical structures like helices found in proteins and nucleic acids. They have garnered considerable attention as stimuli-responsive switchable molecules, tuneable chiral materials, and cooperative supramolecular systems due to their chiral and conformational switching properties.
Double-helical foldamers exhibit not only even stronger chiral properties but also unique properties, such as the transcription of chiral information from one chiral strand to another without chiral properties, enabling potential applications in higher-order structural control related to replication, like nucleic acids. However, the artificial control of the chiral switching properties of such artificial molecules remains challenging due to the difficulty in balancing the dynamic properties required for switching and stability. Although various helical molecules have been developed in the past, reversal of twist direction in double-helix molecules and supramolecules has rarely been reported.
Study develops a ConvLSTM model that accurately predicts patient deterioration based on facial expressions, achieving 99.89% accuracy, with potential to improve early detection in healthcare settings.
“These results confirm that computerized tongue analysis is a secure, efficient, user-friendly and affordable method for disease screening that backs up modern methods with a centuries-old practice,”
This technology could be aah-mazing!
Researchers in Iraq and Australia say they have developed a computer algorithm that can analyze the color of a person’s tongue to detect their medical condition in real time — with 98% accuracy.
Continue reading “AI model 98% accurate in detecting diseases — just by looking at your tongue” »
Microsoft patches critical flaws in Azure Health Bot Service that could expose patient data. Researchers detail vulnerabilities and their potential im.
