Draft:Longevity Medicine

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Longevity Medicine is an AI-driven, specialized branch of precision medicine with a primary focus on promoting and optimizing human healthspan ^[1]. Drawing from diverse disciplines such as geriatric medicine, biogerontology, geroscience, preventive medicine, personalized medicine, precision medicine, and deep longevity science, this field aims to target a patient's biological age throughout their lifespan.

The objective is to reduce the gap between healthspan and lifespan. To achieve this longevity physicians design interventions based on pateints current biological age towards their optimal maximum biological and physical performance, utilizing various biomarkers of aging^[2]

Complete Longevity Medicine History

2012/2013

Methylation Aging Clocks Published - 2012/2013 (Horvath, Hannum).^[3]
Blood-based Aging Clocks: Levine's pioneering work introduces blood-based aging clocks, expanding the toolkit for assessing and understanding the aging process.
Human Longevity Inc Launches (Diamandis, Venter)

2016

Deep AI-Aging Clocks Published: Zhavoronkov's group groundbreaking research brings forth deep learning-based aging clocks, showcasing the integration of artificial intelligence into longevity studies.^[4]
Multi-Modal Clock Platforms Launched - 2016 (aging.ai, young.ai, etc): a comprehensive platform revolutionizing the approach to understanding aging, incorporating various biological markers.

2019

Multiple Longevity Clinics Launch Aging Clocks
Gap Between Clocks and Available Medical Interventions Becomes Apparent: Zhavoronkov identifies the critical gap between aging clocks and available medical interventions, catalyzing the need for a new discipline in longevity medicine.
Work on a Volunteer-Run International Longevity Medicine Concept Started ( Dr. Evelyne Bischof, Dr. Mortem Scheibye-Knudsen, Dr. Alexey Moskalev, Dr. Alex Zhavoronkov)

2020

Beginning of Longevity Medicine 101 and 201 courses development ( Dr. Evelyne Bischof, Dr. Mortem Scheibye-Knudsen, Dr. Alexey Moskalev, Dr. Alex Zhavoronkov)
Longevity Medicine 101 Course Launches

2021

Q1

AI in Longevity Medicine Paper Published in Nature Aging^[5]
Over 2,000 learners sign up to the Longevity Medicine Course
The Longevity Medicine Course recieves 4.5* Rating

Q2

Longevity Medicine Paper Published in Lancet Healthy Longevity ^[1]
Longevity Education Hub Platform launch on Teachable: supported by the Longevity Pledge.
Longevity Medicine 101 Course Receives a CME Accreditation
Longevity Medicine 101 Course Launches in Chinese

Q3

Longevity Medicine Day for Physicians Launched at the 8th ARDD Conference: co-hosted with Lancet Healthy Longevity.

Q4

UK HDR UK Platform Launches Longevity Medicine Course
Longevity Medicine Course Launches on LabXchange
Longevity Medicine 201 Course Launches

2022

Longevity Medicine 201 Course Receives CME Accreditation
Longevity Medicine Day for Physicians at the 9th ARDD Conference: co-hosted with Nature Aging
Healthy Longevity Medicine Society is established

2023

Investing in Longevity Course Launches
Longevity Medicine Day for Physicians Launched at the 10th ARDD Conference: co-hosted with Nature Medicine.
Longevity Medicine Courses launch in Japanese, Spanish and Indonesian
6600+ learners have registered for the longevity medicine courses at longevity.degree

Education in Longevity Medicine

The pioneering initiative in Longevity Medicine education is the development of the "Longevity Medicine 101: Introduction to Longevity Medicine" and "Longevity Medicine 201: Advanced Course" These courses were collaboratively created by leading Artificial Intelligence (AI) professionals, practicing physicians, biogerontology experts, and geroscientists namely Dr. Alex Zhavoronkov, Dr. Evelyne Bischof, Dr. Alexey Moskalev and Dr. Morten Scheibye-Knudsen^[6]. As the first free and CME-accredited online courses in Longevity Medicine, these programs aim to serve as a credible source of education, training, and upskilling for healthcare professionals.

Curriculum Highlights

The Longevity Medicine courses offer a comprehensive curriculum designed for clinicians, scientists, and healthcare professionals. Covering topics ranging from biogerontology and geroscience to AI-based medicine, the courses provide a solid foundation in translational aging research. Key components include terminology, theories, and hallmarks of aging, exploration of basic aging pathways, and an understanding of mechanisms behind potential geroprotective interventions. The curriculum also delves into the intricacies of aging clocks and related topics^[7] ^[8]

These courses are a vital step toward equipping healthcare professionals with the knowledge and skills necessary to navigate the complexities of Longevity Medicine, fostering advancements in the field and contributing to the collective goal of extending human healthspan.

International Outreach

Longevity Medicine Courses by Longevity Education Hub are available in 5 langaues: English, Spanish, Japanese, Chinese and Indonesian.

Healthy Longevity Medicine Ecosytem

Societies

The Longevity Medicine ecosystem thrives on collaborative efforts from diverse entities committed to advancing research, education, and interventions aimed at promoting healthy aging. One prominent organization contributing to this ecosystem is the Healthy Longevity Medicine Society (HLMS) a medical doctor organization dedicated to fostering advancements in Longevity Medicine. Comprising medical professionals, researchers, and experts, the society plays a pivotal role in shaping the discourse around healthy longevity and supporting initiatives that enhance human healthspan.

Conferences

A crucial aspect of the Longevity Medicine ecosystem is the convening of conferences that bring together thought leaders, researchers, and practitioners. One notable event is the Aging Research and Drug Discovery (ARDD) conference held annually in Copenhagen. ARDD serves as a platform for the exchange of cutting-edge research and innovations in longevity science, providing a forum for experts to discuss breakthroughs in aging research and drug discovery. By facilitating dialogue and collaboration, conferences like ARDD contribute significantly to the interdisciplinary nature of Longevity Medicine, fostering a vibrant ecosystem that propels the field forward.

Clinics

Public

Sheba Healthy Longevity Center^[9]

Private

Chi Longevity^[10]
Longevity Center Europe^[11]

References

^ ^a ^b Bischof, Evelyne; Scheibye-Knudsen, Morten; Siow, Richard; Moskalev, Alexey (April 2021). "Longevity medicine: upskilling the physicians of tomorrow". The Lancet Healthy Longevity. 2 (4): e187–e188. doi:10.1016/S2666-7568(21)00024-6. PMID 36098117.
^ Kennedy, Brian K.; Berger, Shelley L.; Brunet, Anne; Campisi, Judith; Cuervo, Ana Maria; Epel, Elissa S.; Franceschi, Claudio; Lithgow, Gordon J.; Morimoto, Richard I.; Pessin, Jeffrey E.; Rando, Thomas A.; Richardson, Arlan; Schadt, Eric E.; Wyss-Coray, Tony; Sierra, Felipe (November 2014). "Geroscience: Linking Aging to Chronic Disease". Cell. 159 (4): 709–713. doi:10.1016/j.cell.2014.10.039. PMC 4852871. PMID 25417146.
^ Horvath, Steve (2013-12-10). "DNA methylation age of human tissues and cell types". Genome Biology. 14 (10): 3156. doi:10.1186/gb-2013-14-10-r115. ISSN 1474-760X. PMC 4015143. PMID 24138928.
^ Putin, Evgeny; Mamoshina, Polina; Aliper, Alexander; Korzinkin, Mikhail; Moskalev, Alexey; Kolosov, Alexey; Ostrovskiy, Alexander; Cantor, Charles; Vijg, Jan; Zhavoronkov, Alex (2016-05-18). "Deep biomarkers of human aging: Application of deep neural networks to biomarker development". Aging (Albany NY). 8 (5): 1021–1030. doi:10.18632/aging.100968. ISSN 1945-4589. PMC 4931851. PMID 27191382.
^ Zhavoronkov, Alex; Bischof, Evelyne; Lee, Kai-Fu (January 2021). "Artificial intelligence in longevity medicine". Nature Aging. 1 (1): 5–7. doi:10.1038/s43587-020-00020-4. ISSN 2662-8465. PMID 37118000. S2CID 234312426.
^ "Home". longevity-degree.teachable.com. Retrieved 2024-03-06.
^ Zhavoronkov, Alex; Bischof, Evelyne; Lee, Kai-Fu (2021-01-14). "Artificial intelligence in longevity medicine". Nature Aging. 1 (1): 5–7. doi:10.1038/s43587-020-00020-4. ISSN 2662-8465. PMID 37118000. S2CID 234312426.
^ Moqri, Mahdi; Herzog, Chiara; Poganik, Jesse R.; Justice, Jamie; Belsky, Daniel W.; Higgins-Chen, Albert; Moskalev, Alexey; Fuellen, Georg; Cohen, Alan A.; Bautmans, Ivan; Widschwendter, Martin; Ding, Jingzhong; Fleming, Alexander; Mannick, Joan; Han, Jing-Dong Jackie (August 2023). "Biomarkers of aging for the identification and evaluation of longevity interventions". Cell. 186 (18): 3758–3775. doi:10.1016/j.cell.2023.08.003. PMC 11088934. PMID 37657418. S2CID 261404171.
^ "Healthy Longevity Clinic at Sheba Tel HaShomer".
^ "Chi Longevity".
^ "Longevity Center Europe".

[:0-1] Bischof, Evelyne; Scheibye-Knudsen, Morten; Siow, Richard; Moskalev, Alexey (April 2021). "Longevity medicine: upskilling the physicians of tomorrow". The Lancet Healthy Longevity. 2 (4): e187–e188. doi:10.1016/S2666-7568(21)00024-6. PMID 36098117.

[2] Kennedy, Brian K.; Berger, Shelley L.; Brunet, Anne; Campisi, Judith; Cuervo, Ana Maria; Epel, Elissa S.; Franceschi, Claudio; Lithgow, Gordon J.; Morimoto, Richard I.; Pessin, Jeffrey E.; Rando, Thomas A.; Richardson, Arlan; Schadt, Eric E.; Wyss-Coray, Tony; Sierra, Felipe (November 2014). "Geroscience: Linking Aging to Chronic Disease". Cell. 159 (4): 709–713. doi:10.1016/j.cell.2014.10.039. PMC 4852871. PMID 25417146.

[3] Horvath, Steve (2013-12-10). "DNA methylation age of human tissues and cell types". Genome Biology. 14 (10): 3156. doi:10.1186/gb-2013-14-10-r115. ISSN 1474-760X. PMC 4015143. PMID 24138928.

[4] Putin, Evgeny; Mamoshina, Polina; Aliper, Alexander; Korzinkin, Mikhail; Moskalev, Alexey; Kolosov, Alexey; Ostrovskiy, Alexander; Cantor, Charles; Vijg, Jan; Zhavoronkov, Alex (2016-05-18). "Deep biomarkers of human aging: Application of deep neural networks to biomarker development". Aging (Albany NY). 8 (5): 1021–1030. doi:10.18632/aging.100968. ISSN 1945-4589. PMC 4931851. PMID 27191382.

[5] Zhavoronkov, Alex; Bischof, Evelyne; Lee, Kai-Fu (January 2021). "Artificial intelligence in longevity medicine". Nature Aging. 1 (1): 5–7. doi:10.1038/s43587-020-00020-4. ISSN 2662-8465. PMID 37118000. S2CID 234312426.

[6] "Home". longevity-degree.teachable.com. Retrieved 2024-03-06.

[7] Zhavoronkov, Alex; Bischof, Evelyne; Lee, Kai-Fu (2021-01-14). "Artificial intelligence in longevity medicine". Nature Aging. 1 (1): 5–7. doi:10.1038/s43587-020-00020-4. ISSN 2662-8465. PMID 37118000. S2CID 234312426.

[8] Moqri, Mahdi; Herzog, Chiara; Poganik, Jesse R.; Justice, Jamie; Belsky, Daniel W.; Higgins-Chen, Albert; Moskalev, Alexey; Fuellen, Georg; Cohen, Alan A.; Bautmans, Ivan; Widschwendter, Martin; Ding, Jingzhong; Fleming, Alexander; Mannick, Joan; Han, Jing-Dong Jackie (August 2023). "Biomarkers of aging for the identification and evaluation of longevity interventions". Cell. 186 (18): 3758–3775. doi:10.1016/j.cell.2023.08.003. PMC 11088934. PMID 37657418. S2CID 261404171.

[9] "Healthy Longevity Clinic at Sheba Tel HaShomer".

[10] "Chi Longevity".

[11] "Longevity Center Europe".

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