[email protected] ![[Pasted image 20250221154651.png]] <hr class="bio-divider"> Hi, I'm Fayzan, an entrepreneur and research scientist focused on early disease detection, starting with pets. I'm also the co-founder of Everfur, where we leverage AI and hair metabolomics to revolutionize pet health at home. In my PhD at Cornell University, I focused on metabolomics and early disease detection, writing my thesis on biomarkers and cell therapy for Parkinson's disease for early detection. I also contributed to groundbreaking research at Mount Sinai during the COVID-19 pandemic as part of the COVID taskforce, where we identified viral load as a predictor of severity. This work was retweeted 5,000 times and featured in 50 newspapers. I'm currently most interested in how to detect disease early, starting with pets. I live in New York City with my wife and our two cats. <hr class="bio-divider"> ##### Areas most interested in with 10 year predictions **Metabolic Health** In 10 years, metabolomics will revolutionize healthcare, nutrition, and personalized medicine by decoding the biochemical signatures of health and disease in real time. Imagine a world where a simple breath, sweat, or hair test instantly reveals early disease markers, optimizes your diet and supplements based on your unique metabolism, and tracks the effectiveness of treatments with precision. AI-powered metabolomic databases will enable doctors to predict and prevent diseases before symptoms appear, while biohacking and longevity science will flourish with real-time metabolic monitoring. In agriculture, metabolomics will engineer nutrient-rich, climate-resilient crops, and in pet health, companies like Everfur will provide hyper-personalized care, extending and improving the lives of animals. This biochemical revolution will shift healthcare from reactive to predictive, making proactive wellness the new standard. **AI** In 10 years, AI will function as an extension of human intelligence, seamlessly integrating into daily life to solve complex problems, create art, and automate scientific discovery. Personalized AI assistants will predict health risks, optimize mental and physical performance, and even design new drugs on demand. AI-generated models will simulate entire biological systems, accelerating medical breakthroughs, while quantum AI unlocks solutions to previously unsolvable problems. From self-programming robots to AI-powered brain interfaces, intelligence augmentation will redefine what it means to be human, blurring the line between technology and biology. **Longevity** In 10 years, cell regeneration will make aging and injury reversible, with lab-grown organs, stem cell therapies, and bioengineered tissues becoming routine treatments. Advanced CRISPR and gene editing will reprogram damaged cells, while 3D bioprinting will create custom replacement organs on demand. Paralyzed individuals will regain mobility as regenerative medicine rebuilds spinal cords, and lost limbs will regrow through bioelectric stimulation. With self-repairing tissues and enhanced wound healing, the human body will become more resilient, extending both health span and quality of life. **Cellular Regeneration** In 10 years, longevity science will push human lifespans beyond 120 years, not just by slowing aging but by reversing it at the cellular level. AI-driven drug discovery will uncover new longevity molecules, while epigenetic reprogramming will reset aging cells to a youthful state. Advanced metabolomics will personalize nutrition and supplements, optimizing each person’s unique biology for maximum lifespan. Aging will be treated like a disease, with treatments evolving faster than biological decline, making extreme longevity—or even biological immortality—a tangible reality. <hr class="bio-divider"> Beliefs A platform company that gathers metabolic information non-invasively through hair analysis can scale to millions globally with minimal friction. By leveraging hair-based biomarker tracking, it can develop personalized therapeutics, supplements, and dietary interventions tailored to an individual's long-term metabolic health. This non-invasive approach removes barriers to participation, making it easier to collect vast amounts of data and unlock deep insights into disease prevention. With such a dataset, the company can partner with insurers to create risk-adjusted health plans and drive proactive care at an unprecedented scale. Additionally, the platform can seamlessly integrate doctor referrals, connecting users with specialists based on their metabolic profile, further closing the loop between diagnostics and treatment while building the world’s leading metabolic health ecosystem. <hr class="bio-divider"> Books That Blew My Mind - **"Sapiens: A Brief History of Humankind" – Yuval Noah Harari** - This book fundamentally changed how I see human progress, breaking down how myths, money, and culture shaped civilization. Harari's ability to distill complex ideas into compelling narratives made it an addictive read. - **"East of Eden" – John Steinbeck** - A masterclass in storytelling, it explores human nature, free will, and generational ambition in a way that feels timeless. Steinbeck’s writing makes every character unforgettable, and the themes of resilience and reinvention resonate deeply. - **"Our Mathematical Universe: My Quest for the Ultimate Nature of Reality" – Max Tegmark** - This book pushed me to think about the universe in a completely new way—what if reality itself is math? Tegmark’s bold ideas on the multiverse and the mathematical structure of existence are the kind of radical thinking that drives real innovation. <hr class="bio-divider"> ##### Papers **AI/ML in Medicine** - [COVID-19 Viral Load as a Mortality Predictor](https://www.thelancet.com/journals/lanres/article/PIIS2213-2600(20)30354-4/fulltext?ref=goodoil.news) - [AI for Cardiology: Hype vs. Reality](https://journals.sagepub.com/doi/10.1177/1074248420928651?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed) - [Graph Embeddings for Critical Care Predictions](https://link.springer.com/chapter/10.1007/978-3-030-59137-3_2) - [Deep Learning for ECGs](https://academic.oup.com/europace/article-abstract/23/8/1179/6132071) - [Cornell Biomedical Knowledge Graphs](https://scholar.archive.org/work/axnhyfyk55cytjo3eyixtedlym/access/wayback/https://www.medrxiv.org/content/medrxiv/early/2021/04/21/2021.03.12.21253461.full.pdf) - [Hormonal Biomarkers of Parkinson's Disease Identified via Machine Learning](https://www.medrxiv.org/content/10.1101/2024.12.21.24313256.abstract) - [Viral Load at Admission Linked to Acute Kidney Injury in COVID-19](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247366) - [Predicting COVID-19 Outcomes with Machine Learning](https://www.jmir.org/2020/11/e24018/) **Regenerative Medicine & Cell Engineering** - [Dopamine Neuron Survival: The TNF-P53 Pathway](https://www.cell.com/cell/fulltext/S0092-8674(24)00575-0) - [Engineering Superior Dopamine Neurons with WNT & FGF18](https://www.biorxiv.org/content/10.1101/2025.01.06.631400.abstract) **Continuous Monitoring Devices** - [Sleep in the natural environment](https://www.mdpi.com/1424-8220/20/5/1378) **Molecular Imaging** - [Nuclear Imaging for Heart Failure & Transplant Monitoring](https://academic.oup.com/ehjcimaging/article/20/Supplement_3/jez150.001/5512942) - [Targeting Cell Membrane Asymmetry for Atherosclerosis Imaging](https://www.jacc.org/doi/abs/10.1016/j.jacc.2020.08.047) - [Radio labeled Duramycin for Heart Attacks vs. Transplant Rejection](https://www.ahajournals.org/doi/abs/10.1161/circ.138.suppl_1.16168) **Drug Repurposing & Therapeutics** - [Bumetanide for Alzheimer’s: AI-Driven Drug Repurposing With Real-World Validation](https://www.nature.com/articles/s43587-021-00122-7) - [Trazodone: A Hidden Cardiovascular Protector?](https://www.researchsquare.com/article/rs-567817/latest) <hr class="bio-divider"> ##### People I’m Interested in Connecting With - **Backend Developers** – I'm looking to connect with backend engineers who have experience in building scalable APIs. - **Data Scientists** – I’m interested in data scientists who specialize in machine learning, predictive modeling, and metabolomics. Those with experience in biological datasets or healthcare applications would be especially valuable. - **Food Scientists Specializing in Microencapsulation** – I'm seeking experts in microencapsulation for supplement formulation and bioavailability enhancement. A background in pet nutrition or pharmaceutical applications would be a major plus.