Gestational diabetes alters the placenta at the molecular level, study reveals

There are several areas where AI could add value, but one of the most exciting is helping us translate complex experimental results into actionable insights for drug discovery teams. We see computational and experimental approaches as complementary rather than competing technologies. In vitro assays such as iSLAseizure generate highly relevant biological data, while AI and machine learning can help uncover patterns within that data that might otherwise be difficult to identify. One example is work I recently presented at the BioNow BioAI Symposium, in which we explored the use of structure-activity relationships (SAR) and machine learning models alongside iSLAseizure assay data. Supported by colleagues, including Dr. Louisa Zolkiewski and Dr. Kim Rockley, ApconiX has developed an in-house seizure liability dataset that we analyzed in collaboration with MedChemica. Using machine learning and chemical informatics approaches, we identified chemical substructures that show statistically significant relationships with seizure-related outcomes. The aim is not simply to predict risk, but to understand which molecular features may contribute to that risk and provide medicinal chemists with practical guidance they can apply much earlier in the discovery process. Looking ahead, I think this is where AI can have a particularly powerful impact. Rather than acting as a standalone prediction tool, it can work alongside human-relevant assays such as iSLAseizure to connect molecular structure, experimental biology, and safety outcomes. That combination has the potential to improve decision-making earlier in the discovery process, reduce late-stage safety surprises, and ultimately support the development of safer medicines for patients.

You're average biomedical researcher is dealing with a huge amount of new information every day. You're getting over 10,000 new publications uploaded on a daily basis worldwide across all the biomedical journals and databases, so there is no way that one researcher can actually even access, let alone read all these huge amounts of data. What we have to do is use deep learning to be able to help us ingest all that data and do some initial deep triage of that data to surface new therapeutic opportunities. It’s meant to provide insight for our biologists and chemists, so they can actually deal with a usable amount of information.

RAS mutations are one of the most common cancer-causing genetic mutations, and the drug is now being studied in several cancer types. I think it's going to work especially well in tumors that are primarily RAS driven, including colon cancer and lung cancer. It might also work in other cancer types in combination with drugs targeting other genetic mutations, but further research is needed.

Daily, if you eat a balanced diet that includes healthy foods, you technically should not need a vitamin supplement. A healthy diet incorporates lean proteins, healthy fats, grains, fruits, and vegetables. But if you do not have a balanced diet, you may be considering hair, skin, and nail vitamins. Some people prefer supplements, sometimes choosing a multivitamin that can supply all of your essential minerals and vitamins. But taking too much of vitamins or unnecessary supplements is wasteful because the body gets rid of excess vitamins and minerals or, worse, it can be dangerous. The following is a guide to choosing which vitamins you may want to consider supplementing and when. Deficiencies in the nutrients that keep the skin, hair, and nails healthy can cause changes over time. For example, not enough intake of vitamins A and E, along with not enough biotin, can cause scaly and rough skin patches, eczema, and hair loss. If there is a deficiency, vitamins will help. However, if there is no deficiency, there is no clear evidence that supplements will make a difference. No research studies concluded that supplements treat or prevent age-related, natural hair damage or loss or lead to healthier skin. Two studies in the early 1990s did suggest that a biotin supplement may cause the hair to become stronger and strengthen weak nails. However, the studies were small and not reproduced.

Algae are photosynthetic aquatic creatures that grow through the consumption of nutrients, light, and carbon dioxide. They are a diverse group of creatures that include tiny single-celled algae and enormous kelp, as well as seaweed 1. Numerous prokaryotic and eukaryotic algae species are desirable food sources for humans due to their inherent qualities 2,3. Human intake of macroalgae such as seaweed and microalgae like phytoplankton dates back many years. Multicellular macroscopic aquatic plants, or macroalgae, are classified into three taxa: Phaeophyceae, or brown algae, Rhodophyta or red algae, and Chlorophyta or green algae. Microalgae, the unicellular counterpart of macroalgae, are categorized in a broader framework that includes prokaryotic cyanobacteria (blue-green algae), Euglenophyta, and Chlorophyta, which are genetically distinct from one another. The ancient populations of Chad and the Aztec culture were already familiar with the cyanobacteria spirulina, which is currently advertised as a superfood in the West 4. In Burma, Vietnam, and India, other cyanobacteria/microalgae, like Spirogyra and Oedogonium, were eaten as food or as a supplement 4. Seaweed is a staple of daily meals in many Asian and Pacific civilizations, including Korea, Japan, and Indonesia, as well as Hawaii and New Zealand 5.