Synthetic peptide enables modular detection of coronavirus protease activity

Toxicology is a very diverse field, spanning chemistry, biology, and clinical science. Data varies enormously in accessibility, quantity, quality, terminology, and format. That makes it a complex domain for AI, but also one where AI can be very useful when applied carefully. A realistic AI-assisted safety pipeline today is not about replacing the expert toxicologist. It is about augmentation. AI agents and Large Language Models (LLMs) can autonomously search for data, collate information, generate summaries, and produce plots. This allows safety scientists to bring their expertise to bear more efficiently, while AI helps uncover and organize the evidence. We should also remember task-specific models. DeepDILI, for example, combined classical and deep learning approaches to predict drug-induced liver injury (DILI), a major cause of post-marketing drug withdrawals. Models like this can have a real impact when focused on specific safety pain points.

There are no targeted treatments approved for pancreas cancer, and we haven't had any significant progress for a long time. We've only come up with different chemotherapy combinations, and those are only moderately effective. This new treatment is staggeringly better than chemotherapy. Usually, when we think of an improvement in pancreatic cancer survival, we think of 25% improvement. This medication actually doubled survival in patients with advanced disease. We have patients who participated in the trial who are still alive, which is unheard of because the five-year survival rate for pancreatic cancer patients is only 13%-14%. If the drug is approved by the FDA, it will most likely become the new standard of care for advanced pancreatic cancer and could replace chemotherapy as a first-line treatment.

Biologically, vitamins are absorbed within hours and have instant metabolic effects, such as antioxidants that protect cells or compounds that are building blocks for making hormones. But, many factors impact their efficiency and could keep your body from fully absorbing them. Absorption and effects depend on each individual and what combination of vitamins they take. Gender, age, digestive health, medical conditions, and diet all play a role. One helpful practice to detect deficiencies is to look for the symptoms deficiencies create. Then, look for improvement in your symptoms with supplement intake. You are unlikely to see or feel changes if you do not lack nutrients. If you are chronically tired or see signs of unhealthy nails, hair, or skin, supplements may help as these are indicators that you are lacking nutrients in your diet. If you are unsure, your doctor can order tests to check for deficiencies in your blood.

With the current drug discovery paradigm, it takes up to 15 years to translate an idea, such as hypothesizing a certain protein is important in a disease and testing this with targeting the protein with a drug, all the way through to proof of concept. The drug has to be filed with the regulatory authorities, having done all the safety and efficacy testing. It's a long process and it's also very costly. Estimates vary, but it's currently reckoned to cost over 1 billion dollars per drug. That’s partly because you have to pay for all the drugs that didn't make it. By the time you've taken a protein target and you've made a whole load of molecules that affect that target in the way you want them to, you've probably already spent a couple of years on it and then you have to take the best molecule through the appropriate safety testing in animals before proceeding to phase 1 testing in people. Even if you get to phase 1 testing, where you are just giving it to human volunteers for the first time, not even patients, about 95% of the compounds at the stage then fail to make it all the way through to the market. So, you’ve only got a 5% success rate. The odds are not good and, essentially, it is why so many companies have had to merge because, over time, this is becoming less and less sustainable as a business model.

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.