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12 Startups Fighting Cancer With Artificial Intelligence

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As the global population ages, the number of cancer cases is going up. New cancer diagnoses are expected to rise by 70% in the next 2 decades, from 14 million to around 22 million, according to an estimate by the World Health Organization. Corporate giants like Google and IBM are already focusing on making breakthroughs in oncology, using advanced AI algorithms for early detection and personalized treatment of cancer. Google DeepMind announced a research partnership with the University College London Hospitals' radiotherapy department. DeepMind will test the use of machine learning to reduce the time it takes to plan radiotherapy treatment for hard-to-treat cancers of the head and neck.


Startups Disrupting Healthcare with AI and Machine Learning

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Increasingly crowded imaging & diagnostics: 17 out of the 22 companies under imagining & diagnostics raised their first equity funding round since January 2015 (this includes 1st Seed or Series A rounds, as well as a first round raised by stealth startup Imagen Technologies). In 2014, Butterfly Networks raised a $100M Series C, backed by Aeris Capital and Stanford University. This was the third-largest equity round to AI in healthcare companies, after China-based iCarbonX's $154M mega-round and two $100M raises by oncology-focused Flatiron Health. VCs invest in drug discovery: Startups are using machine learning algorithms to reduce drug discovery times, and VCs have backed 6 out of the 8 startups on the map. Andreessen Horowitz recently seed-funded twoXAR, developer of the DUMA drug discovery platform; Khosla Ventures and Data Collective backed Atomwise, which published its first findings of Ebola treatment drugs last year, and has also partnered with MERCK; Lightspeed Venture Partners invested in Numedii in 2013; Foundation Capital participated in 3 equity funding rounds to Numerate.


From Virtual Nurses To Drug Discovery: 90 Artificial Intelligence Startups In Healthcare

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Increasingly crowded imaging & diagnostics: 17 out of the 22 companies under imagining & diagnostics raised their first equity funding round since January 2015 (this includes 1st Seed or Series A rounds, as well as a first round raised by stealth startup Imagen Technologies). In 2014, Butterfly Networks raised a $100M Series C, backed by Aeris Capital and Stanford University. This was the third-largest equity round to AI in healthcare companies, after China-based iCarbonX's $154M mega-round and two $100M raises by oncology-focused Flatiron Health. VCs invest in drug discovery: Startups are using machine learning algorithms to reduce drug discovery times, and VCs have backed 6 out of the 9 startups on the map. Andreessen Horowitz recently seed-funded twoXAR, developer of the DUMA drug discovery platform; Khosla Ventures and Data Collective backed Atomwise, which published its first findings of Ebola treatment drugs last year, and has also partnered with MERCK; Lightspeed Venture Partners invested in Numedii in 2013; Foundation Capital participated in 3 equity funding rounds to Numerate.


90 Startups Using AI In Healthcare

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These startups are applying AI to discover new drugs, remotely monitor patients, securely transfer patient data, and more. Healthcare has become a crucial area for artificial intelligence research and applications. Startups in the space are leveraging AI technology to help individual consumers, clinicians, and hospital systems improve everything from fitness to clinical trials to diagnostics. For example, consumers are adopting virtual assistants to inquire about symptoms and using applications to track fitness metrics. Meanwhile, radiologists are using computer vision to discern between malignant and benign cells, while hospital systems are deploying AI-driven software to analyze the financial risk of individual patients on behalf of insurers.


7 AI Cancer Diagnostics Startups Digitizing Healthcare

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The world seems more divided today than ever, whether we're talking about politics or the questionable art form of twerking. However, there's one thing we can all agree on: cancer sucks. Nearly 40% of us will receive the dreaded diagnosis at some point in our lives, according to the National Cancer Institute. That's one reason why we've spent quite a bit of time writing about the topic, particularly the different technologies being developed to detect various forms of the disease. It's really a no-brainer: Data from Cancer Research UK suggests 80% of patients survive for at least 10 years after being diagnosed in the early stages of eight of the most common cancers.