Chemistry42 – AI-based drug discovery platform

Researchers from Insilico Medicine have published a paper in the Journal of Chemical Information and Modeling on the use of its AI platform, Chemistry42, for designing novel drugs for diseases. Launched in 2020, the platform includes 42 generative algorithms, customizable reward functions, and 3D physics-based modules to dynamically assess and optimize the structures. The company… Continue reading Chemistry42 – AI-based drug discovery platform

Spleen-on-a-chip to model acute splenic sequestration in sickle cell disease

A “spleen-on-a-chip” has been created by researchers from MIT, Nanyang Technological University in Singapore, the Pasteur Institute in Paris, and other institutions. The chip models how the spleen filters out old or damaged red blood cells and helps understand the phenomenon of acute splenic sequestration in sickle cell disease patients, which is made difficult by… Continue reading Spleen-on-a-chip to model acute splenic sequestration in sickle cell disease

NeuralTree: closed-loop neuromodulation system-on-chip

Researchers from École Polytechnique Fédérale de Lausanne have developed NeuralTree, a closed-loop neuromodulation system-on-chip that detects and alleviates disease symptoms. It uses a 256-channel high-resolution sensing array and an energy-efficient machine-learning processor to extract and classify biomarkers for accuracy in symptom prediction. It uses data from real patients’ EEG and iEEG epilepsy datasets, as well… Continue reading NeuralTree: closed-loop neuromodulation system-on-chip

Low-cost biosensor to detect Lead and Cadmium in sweat

Researchers at the University of São Paulo in Brazil have developed a portable, flexible copper sensor to detect heavy metals such as lead and cadmium in sweat. High levels of heavy metals in the body can lead to serious health problems. The sensor is made of simple, cost-effective materials, including flexible conductive copper tape, an… Continue reading Low-cost biosensor to detect Lead and Cadmium in sweat

New Computational Equation To Better Predict Drug-Drug Interactions

A joint research team of mathematicians and pharmacological scientists has identified the major causes of inaccuracies in the Food and Drug Administration’s (FDA) equation for predicting drug-drug interactions and presented solutions. They found that the FDA’s equation, based on the 110-year-old Michaelis-Menten (MM) model, was only accurate 38% of the time. The MM model is… Continue reading New Computational Equation To Better Predict Drug-Drug Interactions

New strategy to reduce antibiotic resistance using an extracellular polymeric substance inhibitor

Researchers from KU Leuven in Belgium have developed a new antibacterial strategy that weakens bacteria by preventing them from cooperating. The researchers showed that blocking slime (extracellular polymeric substance) production of salmonella bacteria weakens the bacterial community, making it easier to remove. They used a chemical, antibacterial substance 2-cyclopentenyl-5-(4-chlorophenyl)-2-aminoimidazole, a specific member of the class… Continue reading New strategy to reduce antibiotic resistance using an extracellular polymeric substance inhibitor

Bacteriophage treatment for alcohol related liver disease

Researchers from King’s College London and the University of California San Diego School of Medicine conducted an animal study in mice and shown promise of bacteriophage therapy in treating alcohol-related liver disease. This research is published in journal Nature. The team discovered that patients with severe alcoholic hepatitis had high numbers of a destructive gut… Continue reading Bacteriophage treatment for alcohol related liver disease

New findings of cortical activity during delta wave sleep sheds further light into memory formation

Scientists at the Center for Interdisciplinary Research in Biology have shown that delta waves emitted while we sleep are not generalized periods of silence during which the cortex rests, as has been described for decades in the scientific literature. Instead, they isolate assemblies of neurons that play an essential role in long-term memory formation. These… Continue reading New findings of cortical activity during delta wave sleep sheds further light into memory formation

Machine learning to predict the clinical utility of biomedical research

A machine learning model to predict which scientific advances are likely to eventually translate to the clinic has been developed by Ian Hutchins and colleagues in the Office of Portfolio Analysis (OPA), a team led by George Santangelo at the National Institutes of Health (NIH). This work published in the journal PLOS Biology aims to… Continue reading Machine learning to predict the clinical utility of biomedical research

New microfluidic system using artificial membrane keep brain tissue viable for a longer duration

Researchers at the RIKEN Center for Biosystems Dynamics Research in Japan have developed a new system for keeping tissue viable for long-term study once transferred from an animal to a culture medium. The new system uses a microfluidic device made of polydimethylsiloxane (PDMS) with a porous membrane that can keep tissue from both drying out… Continue reading New microfluidic system using artificial membrane keep brain tissue viable for a longer duration