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Clinical research blog

Explore our blog for insights into the big questions in precision medicine and clinical research.

Predicting patient outcomes through AI

Predicting how a patient will react to medication or treatment involves understanding many factors, including their genetic makeup. Each patient's genome can hold clues about how they might respond to certain drugs, their risk of adverse drug reactions, or their susceptibility to particular diseases. However, the sheer volume and complexity of genomic data make it challenging for traditional analysis methods to efficiently process and interpret this information.

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Podcast recap: Harnessing human data in drug development with Jakob Steinfeldt

In the latest episode of The Genetics Podcast, Sano CEO Patrick Short sat down with Jakob Steinfeldt, co-founder and Chief Scientific Officer at Pheiron. Jakob shared his journey from academia to entrepreneurship and the innovative work Pheiron is doing in disease prediction and drug development.

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Webinar recap: Sano’s patient finding protocol: Helping you find the right patients faster

In a recent webinar, Hayley Holt, Senior Programme Manager at Sano Genetics, provided an insightful discussion on Sano's innovative approach to patient finding, starting with the development of a patient finding protocol.

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An overview of AI in genomics

AI's significance in genomics lies in its ability to uncover hidden patterns, provide diagnostic insights, and enhance our understanding of genetic information. The reason AI can be so helpful in genetics is that the complexity and sheer volume of genomic data poses significant challenges to traditional methods, which struggle to efficiently analyse and interpret this information. AI addresses this hurdle by offering computational tools capable of handling, extracting, and deciphering valuable insights from a huge amount of data.

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Challenges and ethical considerations of integrating genetics into clinical practice

Integrating precision medicine into clinical practice offers immense benefits for patient care but also poses significant challenges and ethical considerations that need careful navigation in the coming years. Here's a summary of the key issues:

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Conference video recap: How participants with ALS/MND are shaping research, care, and policy

In his recent LifeArc Translational Summit presentation, Paul Wicks explores the human impact behind ALS/MND statistics, highlighting patient experiences, challenges in rare conditions, and breakthroughs in patient-led research.
 
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Podcast recap: From genome to bedside with Dr. Andrea Gropman

In the latest episode of The Genetics Podcast, Sano CEO Patrick Short had a fascinating discussion with Dr. Andrea Gropman, a distinguished expert in paediatric neurology, genetics, and inborn errors of metabolism. Dr. Gropman shared her extensive experience in the field and discussed the challenges and opportunities in integrating genetics and genomics into modern medical practice.

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Podcast recap: Bringing genomics to the clinic with Lori Orlando

Last week on The Genetics Podcast, Sano CEO Patrick Short sat down with Lori Orlando, Director of the Precision Medicine Program at the Center for Applied Genomics and Precision Medicine at Duke University. Lori shared her journey from mathematical modelling to integrating family history and genetic data into primary care, discussing the impact of genomics on healthcare and the future of personalised medicine.

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Integrating genetic data into clinical practice

The incorporation of genetics into contemporary clinical practice is essential for facilitating personalised treatment plans and early diagnosis, and can lead to significantly better patient outcomes. This guide provides healthcare providers with a comprehensive overview of how to effectively integrate genetic data into clinical settings. Here are some key points covered:

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Genomic applications in frontline healthcare for at-risk populations

In terms of identifying and supporting at-risk populations, genomics has multiple potential applications in frontline healthcare. While confirmation of an underlying genetic factor can’t currently change patient outcomes, it’s hoped that collecting genomic data will enable families to quickly identify members at increased risk, and ultimately accelerate the development of potential new drug targets and personalised treatment journeys.

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