LifeNome AI Translates Health Data Into Actionable Product Recommendations

LifeNome is an Award-winning Precision Health AI company that leverages biological, physiological, and behavioral data to hyper-personalized needs assessments and wellness interventions in the preventative health, nutrition, fitness, insurance and personal care industries. In this interview, CEO Ali Mostashari discusses the benefits of precision medicine and reveals his revolutionary views on the future of preventative healthcare.

Please describe the story behind the company: What sparked the idea, and how has it evolved so far?

I’m an MIT Ph.D. with master’s degrees in biotechnology, engineering, and system science. I’m in the top 20 cited scholars in complexity science in the world. My co-founder Raya Khanin, Ph.D., graduated from the Weizmann Institute in Israel. She is in the top 10 cited scholars in translational bioinformatics in the world. My other co-founder, Mario Storga, Ph.D., is in the top 20 cited scholars in semantic networks in the world. We’re very science-oriented people with more than 200,000 citations collectively as a group.

LifeNome operates in an area called Precision Health, which is the preventative stage before Precision Medicine. While precision medicine focuses on what particular drugs are good for you and how you should be treated once you have a disease, precision health is about the choices we make while we still can, to avoid becoming ill.

We look at different layers of data on various aspects of individuals’ lives that can contribute to the potential onset of diseases. Based on that, we create assessments and personalized lifestyle recommendations. This includes nutrition, exercise, skin and hair care, and other areas of well-being.

We use biological data, which may include DNA or microbiome data. In some cases, later on, we may start looking at RNA or proteomics, depending on how well the economics work out in the future.

We can also take physiological data from wearable devices such as smart watches, SPO2 meters, glucose monitoring devices, or heart rate meters, as well as lifestyle, environmental and cultural data.

Cultural preferences are quite important in personalization. . If you show a devoutly religious Jewish or Muslim person a dish with bacon in itת even if the AI thinks it’s good for their overall health, it will not go across well.

You can personalize things like nutrition, fitness, sleep and stress management, immune system response, aging, skincare, and many other areas. We use artificial intelligence not just to look at associations, but at what combination of risk factors can create a particular trait assessment. Based on that, you can assess a person’s needs, and match them with particular products and services. In some cases, we may recommend custom formulas be made for a particular person.

On top of that, we’re also a B2B company. We run an analytics platform and work with enterprises to provide them with analytics personalization capability. Once a user profile is created, LifeNome can give more than 100,000 different outputs about a person’s nutritional needs, taking their biological, physiological, and behavioral data into consideration.

We have partners for the DNA testing part, which is the core of our business. Then, on the B2B front, we have partners in the insurance, healthcare, biotech, and pharma sectors, as well as consumer enterprises such as Pepsi and Unilever.

We’re headquartered in New York City, with offices in Europe and Asia. We operate in 14 countries and have received lots of awards, including global health challenges like PepsiCo Greenhouse Accelerator, the World Economic Forum global innovator, Zurich World Innovation Championship, Johnson&Johnson quickfire, and many others.

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