Longevity

Introducing The Internet of Longevity

Connecting and simplifying the world’s longevity data to help you live longer.

How Can You Evade Death?

Death is a variety of assassins. At any time, one of these assassins might sneak up, slip a knife into your throat, and take your life. The worst case is an ambush from one of the most dangerous assassins, like a stage 4 pancreatic cancer or stroke.

Fortunately, advances in technology will soon allow us to help you know which assassins are coming for you and how you can evade them so that you can live a happier and healthier life.

For example, Google’s FlatIron Health is centralising the world’s Oncology data so that scientists can cure the hundreds of different types of cancer. Scanadu‘s ‘Scout‘ sensor tracks your blood pressure, temperature, blood oxygen level and heart rate in 30 seconds and sends the results to your smartphone. Enlitic automatically diagnoses lung cancer better than the worlds best doctors. And very soon, companies like Viv.ai will replace the arduous traditional ways of collecting data through surveys and questionnaires with Q&A conversations with your computer.

In short, the technology is here and we’re connecting it together to bring you the most important real-time insights for helping you manage your longevity and health.

Connecting You With Personalised, Life-Extending Actions & Data

Thanks to advances in smartphone, sensor and genomics technology, you now have more insight and control over your health and health risks than ever before.

We’re building a network of longevity data and simplifying the vast complexities of free, open-source and private health to provide you with the most accurate insights and actions to help you live better and live longer.

The Data Challenge is Enormous

Number of cancer patients enrolled in clinical trials3%

Genomes Sequenced of Total Human Population0.0003%

Proportion of Australian Health $ Spent on Hospitals38.2%

Proportion of Australian Health $ Spent on Prevention1.7%

Whilst the basic technologies – genomic sequencing, mobile research capabilities, machine learning, scalable storage, APIs, etc – are here. We’ve got a long way to go.
Many government agencies and hospitals still operate in selfish data-silos which prevent researchers from making breakthrough discoveries. Naturally there are security, privacy and economic concerns, which, despite being valid policy issues, create political red-tape and ultimately slow medical progress.

Our Problem: Networked Intelligence

The key bottleneck is intelligence. Getting the right intelligence, to the right problem, question or action, at the right time. It’s crippling. Take Cancer for example. If circulatory issues don’t kill you, cancer is the next most likely assassin to get you. And yet, the world still lacks a 24/7 global digital ecosystem that connects and unites hospitals, patients, researchers, scientists and entrepreneurs under the common banner of fighting cancer.

When governments are sleeping you can bet some shreds entrepreneurs are doing exactly the opposite. Google’s for-profit company called FlatIron Health is now the largest cancer network of increasingly more valuable patient and cancer data. Unless someone else beats them to it, FlatIron Health will control the ecosystem of a $3 trillion dollar industry. Why so much money?

Because they’re facilitating Networked Intelligence. They’re building another GitHub. But instead of the category being “global software development”, it’s “global cancer software”.

App and device data should make clinical sense.

But it’s more than intelligence, in Australia, we desperately need to open up and improve the communication and data-flows between hospitals, researchers, and entrepreneurs. And perhaps the best way to do that would be incorporating a conversational intelligence like Viv.ai into Government Service apps so users could talk someone that really understood all aspects of government and what options were open to them given their location, state government, federation government, personal details, local and national laws, and so forth.

Beyond that, Australian and global scientists of the world would love a way to advance their own branches of science much faster – which they could easily do with more networked intelligence ecosystems (think Flatiron’s Cancer network for cardiovascular disease, Uber & Google’s transport data for Transport Ministries, etc). The list is endless and the possibilities are thrilling.

Perhaps open source artificial intelligence non-for profit OpenAi (founded by silicon valley elites likes of Elon Musk, Reid Hoffman, Jessica Livingston, Peter Thiel, & Amazon Web Services) will release a helpful scientifically minded intelligent assistant that can help answer questions like is this true? Is there any valid, scientific evidence exists for this? Or who’s working some something similar to this? – for those whoever ever spend months of years on something, only to find out that their were reinventing the wheel (or other technology that was open source and available for use from elsewhere).

It’s not yet possible for any scientist (or interested enthusiast for that matter) to connect to a platform that allows them to easily analyse, markup and contribute to the world’s most valuable real time health data from public and private hospitals, public and private medical devices (such as Scanadu’s Scout). Why?