A new study using AI-powered polypharmacology extends lifespan in over 75% of Caenorhabditis elegans cases and demonstrates a step change in tackling exponentially complex biological questions. This research lays the foundation for a new generation of therapeutics that act systemically, not in isolation.
A hybrid quantum-classical machine-learning model was used to generate novel chemical structures for potential drugs, suggesting unique compounds with biologically active properties. The system successfully proposed 2,331 novel molecules with high novelty, paving the way for a dramatic acceleration of drug discovery.
Researchers from Gero and Roswell Park Comprehensive Cancer Center discovered that biological age is changing over time, leading to reduced resilience. As people age, it takes longer to recover from stresses, and chronic diseases are linked to loss of resilience.
GeroSense AI tracks biological age and resilience via smartphone sensor data, providing personalized health recommendations. The technology predicts biological age acceleration and stability, enabling timely detection of lifestyle or health status changes.
Gero's AI platform identifies 9 potential COVID-19 treatments among existing drugs, including Niclosamide and Nitazoxanide. The list enables urgent clinical trials to begin in weeks.
An international team of scientists has discovered a potential drug that may prevent neuronal death through glucose metabolism modification. The new drug shows promise in treating conditions such as Amyotrophic lateral sclerosis, Alzheimer's disease, and traumatic brain injury.
Researchers used long-lived roundworms to identify new anti-aging compounds among FDA-approved drugs. They found that these compounds can slow down aging in nematodes and may have therapeutic potential for humans.
A study published in Communications Biology found that chronic conditions like cancer and diabetes share common underlying mechanisms with aging. The researchers analyzed genetic data from over 300,000 people and identified 12 genetic loci associated with healthy life expectancy.
A study from Gero longevity company shows that quitting smoking can lead to rejuvenation that can be monitored by a mobile phone app. The app uses AI algorithm trained on physical activity signals to estimate biological age and track its reversion after smoking cessation.
Researchers use big data from medical studies and large biobanks to develop models predicting biological age, aging rate, and potential targets for future anti-aging therapies. The approach also led to the identification of wearable-based biomarkers of aging and frailty.
Researchers have developed an AI algorithm that can accurately predict biological age and mortality risk using wearable sensor data from a large dataset. The model outperforms previous models and has the potential to refine health risks for life and health insurance programs.
Researchers from Gero discovered that Strehler-Mildvan correlation has no real biological basis, contradicting long-held assumptions. This finding opens up new possibilities for anti-aging therapies and life extension.
A team of scientists has discovered that gene regulatory networks are inherently unstable, leading to aging and disease. Stabilizing these networks could lead to therapies against age-related diseases and increased lifespan.