Families affected by ALS urged to join free program to uncover their genetic risk, contribute to research, and access new therapies
- Sano Genetics launches ‘Light The Way’, offering peer support, DNA testing, genetic counseling and education to those diagnosed with or experiencing symptoms of ALS, and those at risk of genetic ALS due to their family history.
- Around one in five ALS cases are now thought to be genetic; 40+ genes have been linked to the disease thanks to new discoveries funded in part by the 2014 ALS ice bucket challenge.*
- Knowing their genetic risk could offer relief to many, while those who test positive may be able to access newly approved therapies, clinical trials and observational studies like Beacon, which charts the psychological impact of ALS genetic testing.
In the ever-evolving landscape of healthcare, precision medicine trials stand out as a beacon of personalised treatment, tailored to the unique genetic and environmental makeup of each individual. But the backbone of these trials isn't just cutting-edge technology or groundbreaking research; it's the patients. Engaging them effectively is both an art and a science. Here, we explore best practices for patient engagement in this dynamic field.
As precision medicine advances from concept to clinical practice, its economic implications are becoming a central question for sponsors, health systems, and policymakers alike. Economic evaluations are used to determine the value of treatments and guide resource allocation. However, applying these evaluations to precision medicine is not straightforward.
In our latest report, we explore the complexities of Amyotrophic Lateral Sclerosis (ALS), offering a comprehensive overview of the disease. From genetic components to the latest FDA-approved treatments, we cover the entire spectrum of ALS research and care.
Metabolic dysfunction-associated steatohepatitis (MASH), previously known as nonalcoholic steatohepatitis (NASH), is a complex liver disease characterized by fat accumulation, inflammation, and fibrosis. With its global prevalence rising alongside obesity and type 2 diabetes rates, the medical community is urgently seeking innovative prediction, diagnosis, and treatment strategies.
This webinar, hosted by Sano CEO Dr. Patrick Short and featuring David Ochoa, Platform Coordinator at Open Targets, explores the significance of human genetics in pinpointing drug targets, the variety of data sets employed, target safety, and methods of intervention. It also touches on the changing nature of drug modalities and prospective avenues for future research.
As precision medicine trials increasingly depend on genetic eligibility criteria, the process of testing, interpreting results, and guiding patients through their implications becomes a central part of study execution. Genetic counselors serve as a critical resource of information about genetic disorders for healthcare professionals, patients, and the general public, translating complex genomic data into actionable understanding.
Genetic testing has become a defining capability in biotechnology and pharmaceutical development. By revealing the specific genetic variants that influence disease risk and drug response, it enables a more targeted approach to both treatment design and clinical research. Its applications now span oncology, rare disease, pharmacogenomics, and preventive health, reshaping how therapies are developed, tested, and delivered.
Digital twins are virtual models designed to accurately reflect a physical object or system. The concept comes from engineering and has been applied to complex systems such as airplanes, manufacturing, and even cities. While the use of digital twins in healthcare is still very new, it is already enabling more personalized treatments and creating a better understanding of patient health.
While lifestyle choices and environment can impact risk, genes are often what most affect how likely a person is to develop a disease. People commonly have different versions of a gene throughout a population, and some of these versions are associated with an increase in disease risk. Polygenic risk scores consider these gene variations and can provide a measurement of a person's risk for a specific disease.