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A new study suggests that consuming processed foods can lead to a higher risk of chronic diseases such as obesity, diabetes, and heart disease. The study found that ultra-processed foods, which are high in sugar, salt, and unhealthy fats, are linked to a 10% increase in the risk of developing these conditions. Experts recommend limiting consumption of processed foods and opting for whole, unprocessed foods for better health.

Source: https://www.theguardian.com/environment/article/2024/may/20/processed-foods-health-what-to-know

A recent study found that rates of sexually transmitted diseases (STDs) such as gonorrhea and syphilis are on the rise among seniors aged 65 and older. This increase is attributed to a combination of factors, including longer lifespans, increased sexual activity, and lack of education about safe sex practices among this age group. Experts are urging seniors to prioritize their sexual health and get tested regularly for STDs.

Source: https://www.washingtonpost.com/wellness/2024/05/11/sex-stds-gonorrhea-syphilis-seniors/

A new study has found that maintaining a healthy lifestyle can help offset the effects of “unlucky” genes that may increase the risk of certain diseases. The study, published in the journal Nature Communications, suggests that individuals can reduce their risk of developing diseases like heart disease and cancer by following healthy habits such as exercising regularly, eating a balanced diet, and avoiding smoking and excessive alcohol consumption. This highlights the importance of lifestyle choices in promoting overall health and well-being.

Source: https://www.forbes.com/sites/williamhaseltine/2024/05/09/healthy-lifestyle-can-offset-unlucky-genes-study-finds/

Google’s DeepMind has developed a new AI system, AlphaFold 3, that can accurately predict the structure of proteins, a crucial step in understanding diseases and developing new drugs. This breakthrough could revolutionize the field of structural biology and has already been used to predict the structures of over 350,000 proteins. However, some experts caution that more testing and validation is needed before the technology can be fully utilized.

Source: https://www.wired.com/story/alphafold-3-google-deepmind-ai-protein-structure-dna/