Stanford Snyder Lab

So excited that our paper is now online! We demonstrate that human aging follows a nonlinear pattern at the molecular level, with two critical inflection points occurring around 40s and 60s. These key transitions are associated with declines in function and an increased risk of disease. We still don't know what drive These inflection points for human aging. And this is absolutely what we need to explore In the future Research. I want to thank all the authors of this paper. This work is impossible without any of them!

Registrations are now open for Stanford Continuing Studies "A Crash Course in AI". Starts Sept 26th 7-9pm Pacific Time. Hybrid. If in-person at Stanford desired, register early. I am pleased to be teaching again with new GEN AI tools for everyday business use ! https://lnkd.in/gb75m8Fe Stanford University

We are excited to announce our upcoming Proteomics: From Genes to Functions Symposium on September 26! This event is your chance to dive into cutting-edge research and innovations transforming the field of proteomics. In-person attendance is limited, so we encourage you to secure your spot as soon as possible. If you are unable to join us at Stanford, you can still participate virtually. Online registration is complimentary for attendees using an educational email address. Don’t miss this opportunity to engage with leading experts in the field. Learn more and register here: https://lnkd.in/gKW_xKz9 Thank you to all of our speakers for joining us. We can’t wait to hear all the talks and meet everyone! Visit our website to see the full agenda. Michael Snyder, Vera Ignjatović, David Walt, Jessica Lasky-Su, Yingming Zhao, Lihua Jiang, Neil Kelleher, Kathleen Poston, Liwei Zheng This event is brought to you by Fapon and Stanford Healthcare Innovation Lab. We thank our sponsors Lunar Biosciences, Bio-Rad Laboratories, Alamar Biosciences, Inc., and Complete Genomics for supporting our event. Snyderlab Stanford Stanford Snyder Lab #proteomics #proteins #research #stanford #research 

🌟 N = 1 Medicine: A Paradigm Shift in Healthcare 🌟 🔍 The Problem: Modern medical research relies heavily on Randomized Controlled Trials (RCTs), but is this method truly meeting the needs of individual patients? 💡 A Startling Reality: Did you know that the top 10 highest-grossing drugs only benefit between 1 in 25 to 1 in 4 people who take them? This raises questions about the effectiveness of our current approach. 🔬 Reinforcing a Key Point: Our current medical research system—and by extension, clinical practice—is grounded in this idea of “lumping” people together. This approach sacrifices specificity and individuality, leading to a mix of responders and non-responders, strong and weak responders. For pharmaceutical companies, all that matters is achieving a “statistically significant” result in the population. But for patients, what truly matters is whether they, as individuals, are likely to respond to the treatment. Of course, clinicians know this. That’s part of the “art” of medicine. But, what if we made the “art” more bioindividial. More scientific… 🛤️ The Path to N = 1 Medicine: We need a new paradigm: N = 1 Medicine, where the focus is on specificity and recognizing individuality. The key to this future lies in data — YOUR data. We are entering an era where vast datasets can be collected on each individual, encompassing everything from your microbiome to your genome to your proteome to your transcriptome and so on… (this is multi-omics). By integrating these datasets and leveraging machine learning and AI, we can target the root causes of metabolic dysfunction with unprecedented precision. 🚀 The Way Forward: Imagine a future where 100% of the population enjoys metabolic health. Achieving this goal is possible through N = 1 Medicine. Let's embark on this journey together towards a healthier tomorrow. Watch: https://lnkd.in/eWg3kS3C #Healthcare #PrecisionMedicine #PersonalizedCare #MetabolicHealth #Nequals1Medicine Cc Dominic D'Agostino Adrian Soto Mota Benjamin Rolnik Enovone and big hat tip to Snyderlab Stanford

Dermatologist Leandra Barnes, MD, has launched Stanford Medicine's first Skin of Color program, aiming to close the gap in misdiagnoses and inadequate treatment for people of color. https://stan.md/3WdG9zB

Crohn’s Exposome Exposures Matter https://lnkd.in/gTDTiTc8 Investigating the role of human exposome in Crohn’s disease using wearable sensors and multiomics profiling. We conduct the study to better understand the association between airborne exposures and onset and flares of Crohn’s disease. Stanford University, Stanford Genetics, Stanford University School of Medicine, Snyderlab Stanford, Stanford Snyder Lab #stanfordmedicine  #genetics  #Snyderlab #crohnsdisease #wearablesensors #multiomics #stanford  #genomics  #research #health #precisionhealth  #healthcare  #exposome

Crash Course https://lnkd.in/gZibvWmG Stanford University researchers are recruiting ME/CFS, Chronic Lyme, and Long COVID patients for a study to better understand symptom flares such as post-exertional malaise (PEM), or “crashes”. Stanford University, Stanford Genetics, Stanford University School of Medicine, Snyderlab Stanford, Stanford Snyder Lab #stanfordmedicine  #genetics  #Snyderlab #chroniclyme #longcovid #symptomflares #chronicillnessstudy #stanford  #genomics  #research #health #body #healthcare  #innovation  #PEM

Beneficial Exposures & Their Effect on Holistic Health https://lnkd.in/g2tdrjd8 You are invited to participate in a Stanford research study exploring the potential health benefits resulting from regular exposure to compounds extracted from plants. We hope to learn how the human body is influenced by regular exposure to these compounds. Stanford University, Stanford Genetics, Stanford University School of Medicine, Snyderlab Stanford, Stanford Snyder Lab #stanfordmedicine  #genetics  #Snyderlab #exposures #pollution #environment #forestbathing #nature #aromatherapy #wellbeing #wellness #scent #nasal #allergens #allergies #stanford  #genomics  #microbiome #longitudinal #research #health #microbial #genera #body #precisionhealth  #healthcare  #innovation  #Fitbit #PEM #exposome

Seeking Underrepresented Participants for our Infectious Disease and COVID-19 Wearables Study https://lnkd.in/gkYFVCWX With limited test kits and slow results turnaround, we are trying to find out if information from wearable devices can help detect Infectious Disease or COVID-19 before symptoms emerge. COVID Long Haulers! – We are also using real time data from wearable sensors to identify signature patterns that are indicative of continued effects of SARS-CoV-2 infection in the body even after recovery (Post COVID Syndrome aka “Long COVID”). Stanford University, Stanford Genetics, Stanford University School of Medicine, Snyderlab Stanford, Stanford Snyder Lab #stanfordmedicine #genetics #Snyderlab #stanford #genomics #covid19 #earlydetection #longcovid #wearablesensors #research #health #body