Silver Tsunami – How Longevity Medicine benefits from AI

Reading Time: 3 minutes |

September 19, 2022


AI / Healthcare


Silver Tsunami – How Longevity Medicine benefits from AI

Artificial Intelligence (AI) is being applied to almost every aspect of the healthcare and pharmaceutical industry. Its application in geriatrics, biogerontology, geroscience, and precision medicine is opening up numerous opportunities. Consequently, the longevity industry is on its path of development and will be rapidly evolving in the coming years.

Longevity medicine is the application of precision medicine to specifically focus on fostering an individual’s lifespan. Aging being a process that involves a numerous parameter which changes at different rates during the course of human life, it is not easy to monitor biological aging through biomarkers. Even when biomarkers are discovered, multiple stages are involved in the validation of these biomarkers. Here, AI technologies present alternatives options for aging biomarkers. Deep learning-based aging clocks can identify such biomarkers based on genetics, genomics, proteomics, and clinical imaging.

Startups in the field of longevity

Understanding the need for the increasing life span of humans and the growing scope in this sector, people are getting started with their startups to help people with longevity challenges. One prominent startup in this sector is Deep Longevity, Inc: It is among the global leaders in deep learning research regarding aging. They specialize in developing deep biomarkers of aging using clinical blood tests, proteomic, transcriptomic, microbiome, wearable, behavioral, and many other data types. This company provides deep aging clocks to a few advanced clinics and physicians working in the longevity sector. They also develop consumer applications so that aging can be detected at the individual level too.

Roam Analytics is a US-based company that uses Natural Language Processing (NLP) to handle patients’ records. It also uses other AI tools for data analysis and storage. Denver based Sports Health provides comprehensive AI-driven technology to treat aging patients. They have made a smart transcribing app by which information from the patients can be easily gathered. Indian-based Artelus offers an AI-powered solution that can detect Diabetes Retinopathy in just three minutes, which proves helpful, especially for the older generation. platform has identified the ‘protein’ in the blood that, when removed, should lead to rejuvenation. Gero, a Singaporean company in collaboration with the National University of Singapore, has been conducting animal experiments in aged animals and could “demonstrate the delay in mortality and overall improvements after a single dose of a new experimental treatment.” According to their study, this wonder drug can play a vital role in helping patients after a stroke and chemotherapy for cancer.

Juvenescence is a pharma company that develops therapies that would allow people productive longevity. Insilico leverages AI to extend similar advantages in the management of aging. Nuritas works to unlock bioactive peptides from natural sources using Ai and genomics. Similarly, Edifice Health offers a novel technique to measure immunity using artificial intelligence-based technology. Human longevity is the genomics-based startup that develops the world’s biggest database of the whole genome, phenotype, and clinical data. It uses large scale computing and ML to make discoveries to transform the science of aging.

It is not easy to estimate biological age and the hallmark of aging. But DL can establish Deep Aging Clocks (DAC) that can assess an individual’s biological age state with routine blood analyses. This technique will help clinicians precisely monitor the risk factors and deliver custom made interventions for each person. The DAC can be part of a physician’s routine armamentarium that can transform longevity and aging. Other diagnostic solutions operating using AI can provide algorithms for early detection of various chronic illnesses that can complement longevity medicine.

Future perspectives

AI has a bright future in longevity medicine. Biomedical companies are harnessing big data and AI’s combined power to produce definitive treatments for the most perplexing issue of aging. AI will be able to extract essential information just by the patient’s electronic footprint and offer personalized longevity medicine.

Many companies are using AI technology to target the genes and factors responsible for aging. This knowledge will help in and biomarker development, identification of the targets, and drug discovery. These will help people in increasing their life span. Also, there are many devices discovered by different startups that will work to better people’s health and eventually increase longevity.

The discovery of the “longevity” gene by scientist Tom Johnson is paving the way for us to stay forever young. As the cost of healthcare is continuously increasing, easy access to anti-aging drugs and longevity solutions are increasingly becoming a lucrative field. The AI-powered longevity medicine will promote more research of drug delivery at a personalized level, including aging-reversal based on biological, physiological, or psychological processes. Future applications of AI-powered solutions in aging research would be an age-personalized vaccine, immune-oncology treatment, mortality prediction, and new target identification.

How useful was this post?

Click on a star to rate it!

Average rating 0 / 5. Vote count: 0

No votes so far! Be the first to rate this post.

Leave a Comment

Your email address will not be published. Required fields are marked *

Related Insights

Food Supply Chain - WhatNext

Food Supply Chain and Internet of Things

Driver Monitoring using AI -WhatNext

Driver Monitoring using Artificial Intelligence

Quantum Computing - WhatNext

Quantum Computing in Car Manufacturing

Sustainable Agriculture - WhatNext

Sustainable Agriculture using Synthetic Biology

Potential of Living Medicines - WhatNext

Potential of Living Medicines