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Partnerships for New Medicines

Develop new strategies that improve healthspan and age-related diseases by integrating mouse and human data.

Who we are

Vision

We envision a future where scientific breakthroughs in aging and healthspan are effectively translated into therapies that improve human health across the globe. Our vision is to lead the development of treatments that extend the period of life spent in good health. By focusing on early interventions and personalized health strategies, we aim to transform the aging process, helping people live longer, healthier, and more fulfilling lives.

Focus

Kharis identifies and validates healthspan pathways using advanced techniques like multi-omics, cross-species data integration, and computational modeling. We focus on mitochondrial and metabolic targets, diverse mouse populations, and longitudinal data to enhance translational potential. By integrating digital twins of health, we improve clinical outcome predictions, streamlining the path from discovery to therapy.

Kharis is a cutting-edge research entity that leverages over 15 years of data and insights to advance understanding of healthspan and age-related diseases. With a systems physiology approach, we collaborate with top-tier institutions like EPFL and ReMedys Foundation to translate high-potential, high-risk scientific discoveries into real-world clinical solutions. Our extensive use of genetic diversity in mouse models allows us to decode the causal pathways underlying health and resilience, laying the groundwork for groundbreaking therapeutic innovations.

Mission

Our mission is to build a robust platform that enhances healthspan by uncovering and addressing the causal pathways of aging and disease. Through a unique integration of mouse and human data, we aim to deliver small but critical improvements that can lead to a significantly better quality of life for individuals worldwide. Our goal is to create strategies that not only target disease but also foster longevity and resilience, ultimately reducing the overall burden on healthcare systems.

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