GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK
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Cigna, Sentara Healthcare join IBM blockchain initiative

Cigna, Sentara Healthcare join IBM blockchain initiative | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Payer, health system sign on of the group driving collaboration between providers, health insurers and patients.

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Florian Morandeau's curator insight, Today, 1:24 AM

By enabling collaborations between caregivers, patients, and other players in the ecosystem, blockchain could fuel faster connections, more quickly.

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Dating app taps genetics and social media #esante #hcsmeufr #digitalhealth

Dating app taps genetics and social media #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

Years before she became a genetic scientist, Brittany Barreto dreamed of creating a way for people to find love through DNA.

“I just thought it would be so cool to connect people on a romantic level using their DNA,” said Barreto, co-founder and CEO of Pheramor, a dating app that aims to measure compatibility using physical chemistry and social rapport. “It’s nothing like designer babies or anything like that. It is, essentially, how do your genes affect who you are attracted to and who you jive with the best? How is that inscribed in your genome?”

Nearly a decade and a Ph.D. from Baylor College of Medicine later, Barreto set her plan into action. While attending a workshop hosted by Enventure—a grassroots life science startup community in Houston—she met Bin Huang, Ph.D., who became the co-founder and chief technological officer of Pheramor.

“I pitched the idea at their accelerator program and Bin, who was a doctoral candidate at Rice University at the time, also pitched an idea, but then at the end, when we had to make teams, he came up to me and said, ‘Forget my idea, I want to do your idea,’” Barreto recalled.

“I know the genetics behind attraction and Bin knows the techy side and he is on the back end writing the algorithm that is literally matching people.”

Pheramor brings couples together after analyzing a segment of each candidate’s human leukocyte antigen (HLA) gene complex—proteins that regulate the immune system—and social media history. It is one of a handful of companies launched over the past decade that uses genetics to determine romantic compatibility.

The HLA complex helps the immune system distinguish the body’s own proteins from proteins made by foreign invaders, such as viruses and bacteria.

“We are seeking a partner that has a different immune system compared to our own because that means that we are not related, so we will have a decreased risk of genetic disease in our progeny and our progeny will have a more diverse set of immune system genes and therefore be immune to more pathogens,” Barreto explained.

Animals also prefer mates with complementary immune systems and communicate this information through olfactory cues. The genes associated with their immune systems are tethered to pheromones, chemicals animals produce and emit that influence all sort of behavior among others in their species—including sexual attraction.

But there is no hard science on humans releasing or picking up on pheromones, in part because animals use the vomeronasal organ (VNO)—a gathering of sensory cells in the nasal cavity above the roof of the mouth—to detect pheromones, and humans do not have a functioning VNO. That’s why Pheramor takes a cheek swab from clients for DNA sequencing, rather than try to link human attraction to smell. (Confusingly, though, the company’s name merges “pheromone” with “amor,” the Spanish word for love.) As the company notes on its website, pheramor.com: “Pheramor fully appreciates that the science of pheromones requires more research.”

Pheramor also recognizes that humans are highly social. To account for this in the matchmaking process, the team at Pheramor analyzes candidates’ social media histories before they are matched with potential suitors.

“Humans are a more complicated animal,” Huang explains. “Fifty percent is genetics, but the other 50 percent is what do you like to do? What are your common interests? We try to extract this information from your social media data because we don’t want people to answer everything themselves.”

Some research supports Pheramor’s DNA matchmaking. A 2016 study published in Scientific Reports found that the HLA complex mediates mate behavior in humans and that subjects were generally most satisfied with their relationship if their partner exhibited a dissimilar HLA type. Researchers found that HLA dissimilarity correlates with partnership, sexuality and enhances the desire to procreate.

But among scientists, the idea of human pheromones remains a hard sell. In 2018, Richard Doty, a professor of otorhinolaryngology and director of The Smell and Taste Center at the University of Pennsylvania, told Wired magazine: “The notion that there are these magical genes that are somehow associated with smells that permeate the environment and dictate our attraction to people is total nonsense. If human pheromones actually elicited the kinds of behaviors we see in other mammals, the subways of New York City would be in a constant state of mayhem with people hopping all over each other.”

Barreto and Huang launched the Pheramor app officially in September 2018.

“We have thousands of active users and have grown 50 percent month over month,” Barreto said, but declined to disclose the company’s revenue.

Once users download the app, they receive a DNA kit, do a cheek swab, return the kit and wait for their sequencing to be done.

“The app is free, but we charge $30 for the DNA testing,” Huang explained. “The processing time for the kits takes 21 business days, but the processing for us can take around one month.”

The DNA kits are processed at a lab and then returned to Pheramor. Once the data has been collected, users gain access to six profiles per day on the app. The profiles are weighted based on physical proximity of clients first, then on the gender and age each client specified. If two people like each other’s profiles, they can begin messaging one another.

In the four months the Pheramor app has been live, more than 5,000 messages have been shared between users and 20 couples have deactivated their accounts because they have met a solid match, Barreto and Huang said.

Barreto even found her own romantic partner with a cheek swab.

“As the CEO of a dating app, it would be unethical for me to meet someone on the app, but occasionally I do market research on other dating apps so I have 20 of them on my phone,” she said. “I opened one of the dating apps and I had a message from a lovely man, but the message was about a month old and it was actually a really sweet message, but he was a redhead. … I’ve never dated a redhead. I like dark features, or so I thought.”

The two ended up going on a date and hitting it off, at which point, Barreto asked the redhead if she could swab his cheek to see if they were a match. It turns out they were in the top 10 percentile of compatibility.

“This is why we are changing dating by using data,” Barreto said. “I never thought I wanted a redhead because I thought I didn’t like them, but I do. I had all of these social constructs in my mind of what I thought I should be looking for in a person, but it’s in your DNA. I thought I needed someone with an MBA who owned their own company, as well, and James is an elementary music school teacher and we jive so well.”

Barreto and Huang are working on another website for existing couples to test their compatibility through DNA. They hope to launch it this summer.

And to those think Barreto’s work sounds superficial, she has this to say: “Instead of working on something for a patient who is already in the hospital and super sick, let’s make people’s lives better from the get-go by decreasing the number of bad first dates they have to go on so they can find companionship and be happy. … We are humanizing dating using data. We are making people give humans a second chance.”


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An ageing world needs more resourceful robots - Grandma’s little helper

An ageing world needs more resourceful robots - Grandma’s little helper | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
WHEN GILL PRATT sat down to discuss the job of running the Toyota Research Institute, the carmaker’s new research division, his Japanese interviewers wrote one word on a piece of paper and asked him to talk about it. The word was dementia.
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Les 30 ans du Web : de l’utopie à un capitalisme de surveillance

Les 30 ans du Web : de l’utopie à un capitalisme de surveillance | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Son inventeur, l’informaticien britannique Tim Berners-Lee, ne s’y résout pas : sa créature lui a échappé, l’utopie d’Internet a déraillé.
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Le 1er score combinant facteurs #génétiques, antécédents #familiaux et mode de vie - Un #modèle permet de prédire le risque de développer un #cancer du sein #hcsmeufr

Le 1er score combinant facteurs #génétiques, antécédents #familiaux et mode de vie - Un #modèle permet de prédire le risque de développer un #cancer du sein #hcsmeufr | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Une équipe canadienne est parvenue pour la première fois à combiner, en un seul algorithme, le score de risque polygénique aux autres facteurs de risque connus du cancer du sein. Ce modèle permet de définir plus finement, pour une femme donnée, son risque de développer un cancer du sein.

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ACCURAY FRANCE's curator insight, February 14, 8:43 AM

Une équipe canadienne est parvenue pour la première fois à combiner, en un seul algorithme, le score de risque polygénique aux autres facteurs de risque connus du cancer du sein. Ce modèle permet de définir plus finement, pour une femme donnée, son risque de développer un cancer du sein.

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AI in healthcare: Big ethical questions still need answers  #esante #hcsmeufr #digitalhealth

AI in healthcare: Big ethical questions still need answers  #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Experts from Microsoft, AMA and Cleveland Clinic weigh the serious considerations that must be addressed as AI and machine learning increasingly embed themselves in clinical and consumer applications.

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Florian Morandeau's curator insight, February 14, 1:21 AM

These ethical questions are about how, where and to what extent AI and machine learning apps should be deployed.

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YesWeHack lève 4 millions d’euros #esante #hcsmeufr

YesWeHack, plateforme européenne de Bug Bounty annonce une levée de fonds de 4 millions d’euros auprès d’Open CNP, programme de corporate venture de CNP Assurances, et de Normandie Participations. L’opération a pour objectif de renforcer le développement de l’entreprise en France et d’accélérer sa présence à l’international, notamment en Europe et en Asie.
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How Europe’s clinicians and patients are using data & AI to fight cancer  #esante #hcsmeufr #digitalhealth

How Europe’s clinicians and patients are using data & AI to fight cancer  #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

Fabian Bolin was just 28 years old when he found out he had leukemia. A promising actor, the diagnosis of cancer made him feel as if he suddenly lost control of his future and that nothing could help him regain it.

His experience is all too common.

Each year, there are an estimated 3.7 million new cases of cancer and 1.9 million deaths from the disease in Europe. According to the World Health Organization, despite making up only one eighth of the total global population, Europe bears a quarter of the world’s cancer cases. In fact, cancer is the second leading cause of death across the region behind cardiovascular disease.

While Europe is home to some of the best and most established healthcare systems in the world, cancer remains a formidable opponent. Today, leading healthcare providers and organizations are using technology such as artificial intelligence (AI) to engage and support patients, empower doctors and accelerate research. Moving us one-step closer to help manage and conquer the disease.

Giving power back to the patient
When Fabian was first diagnosed, he felt powerless and began sharing his experiences on social media. The response was so great that he helped launch WarOnCancer, a social network for cancer patients and relatives.

From left to right: Fabian Bolin (WarOnCancer), Mathias Ekman (Microsoft), Nora Bavey (UNITECH), and Sebastian Hermelin (WarOnCancer)

The original platform, which comprised of a 150-member strong blogging community who represented 40 types of cancer, highlighted the fact that most cancer patients suffer from low self-esteem and depression. With this insight, WarOnCancer is working with six partners in the pharmaceutical and broader life science industry to develop and test a new mobile app, which aims to become a global social network for cancer patients.

Scheduled to launch during 2019, the app will allow members to share their data and track how the industry uses this data in research. Through the power of Microsoft Azure, WarOnCancer can analyze this data to detect flaws and benefits experienced by different groups of patients depending on where, and how, they are treated.

“During my treatment and interactions with specialists, I was astounded to learn that almost half of clinical trials in oncology are delayed because it’s hard to find patients who meet the right criteria for that particular trial,” said Fabian. “Despite the vast majority of patients willing to share their data for clinical trials, many don’t know these are even taking place or aren’t properly informed how their data will be used. This disconnect can literally be the difference between finding a life-saving treatment or not.”

“The long-term goal is to build a ‘matchmaking’ type service for clinical trials and patients. This will increase the number of successful clinical trials, spearhead the pharmaceutical R&D-process, tailor treatment schedules and medication around a cancer patient’s needs, and ultimately save lives,” says Sebastian Hermelin, co-founder and head of WarOnCancer’s industry partnerships.

Helping doctors deliver early-detection, and increase precision and accuracy

The benefits of early cancer detection are clear. Not only does it result in a higher survival rate, but it helps minimize treatment side effects. While the process varies in every country, standard breast cancer screening typically occurs every two years and involves the mammography of women within a certain age bracket.

However, the effectiveness of mammography dramatically decreases when examining ‘dense’ breasts with a higher percentage of fibroglandular tissue. To address this challenge, the Veneto Institute of Oncology (IOV) is using a new breast density assessment tool from Volpara that has the potential to help millions of people. Leaping beyond the limits of a traditional mammogram, the cloud-based solution assesses images of a patient’s breast tissue, honing in on its density.

Volpara’s new cloud-based tool assesses images of a patient’s breast tissue to calculate its density

“Since dense breast tissue and lesions both appear white on X-rays, it is difficult to detect cancer in women with dense breasts. Moreover, it has been proven that women with dense breasts have higher risk of developing breast cancer compared to women with low breast density,” says Gisella Gennaro, Medical Physicist at the Venetian Institute of Oncology. “But now, through advanced image analysis, we can automatically and objectively assess women’s breast density, use it to estimate their risk of developing breast cancer, and provide them with personalized imaging protocols such as using ultrasound in the event that breast density hinders cancer detection.”

“Without advanced image computing, it would be impossible to get such fast and accurate analysis. Over the next five years, we plan to examine more than 10,000 women; see an increase in cancer detection rates; a decrease in interval cancers; and sustainable screening costs. It’s truly a step forward towards precision medicine,” says Francesca Caumo, Director of Breast Radiology Department at the Venetian Institute of Oncology.

Back in Stockholm, Fabian and his team are tireless in their mission to improve the lives for everyone affected by cancer. It has been almost four years since his initial diagnosis and the journey to date has been nothing short of courageous. Alongside first-rate treatment and family support, data has also proved a somewhat hidden helping hand.

Whether its researchers, clinicians or patients – together with cloud computing and AI – humanity’s war on cancer has never been as fierce.

For more information on how Data and AI are helping clinicians, researchers and patients to make healthcare more efficient, click here.


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How to Improve Customer Segmentation with AI  #esante #hcsmeufr #digitalhealth

How to Improve Customer Segmentation with AI  #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

Accurate segmentation is one of the cornerstones of an effective marketing campaign. Segmenting or dividing your audience into groups means that you can target messages to customers with similar characteristics and needs.

This personalization means that marketing messages will be more relevant to the individual reading them. With greater relevance, response rates are likely to be significantly better than they would be for a single non-personalized campaign.

There are various market segmentation strategies that businesses can use. However, traditionally these tend to result in large, generic groups, rather than smaller more highly targeted groups.

For example, you might segment your customers based on their age, geographic location, or whether or not they’ve bought from you before. The level of segmentation you can achieve is limited to how well you understand your customers and the resources you have available to create different marketing campaigns for these segments.

AI lifts the limitations of traditional market segmentation by analyzing customer data to create more targeted segments. It also has the ability to automatically adjust campaigns to be more personalized for each segment.


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Looking to startups for the future of health #hcsmeufr #esante #digitalhealth

From at-home STD testing kits to behavioral health platforms, this year’s HIMSS Pitch Competition came from a variety of fields.
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20 Enterprises Which Are Implementing Blockchain Technology #hcsmeufr #esante #digitalhealth

20 Enterprises Which Are Implementing Blockchain Technology #hcsmeufr #esante #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Corporations, organizations, enterprises as well as individuals are increasingly implementing blockchain technology as they seek to take advantage of its capabilities. We cover top 20 Enterprises implementing blockchain blockchain.
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How Machine Learning Is Crafting Precision Medicine #hcsmeufr #esante #digitalhealth

How Machine Learning Is Crafting Precision Medicine #hcsmeufr #esante #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
A look at the biggest opportunities—and challenges—of AI-based precision medicine.
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Guide des Startups 2018

Guide des Startups 2018 | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Vous êtes entrepreneur dans la tech ? Vous souhaitez créer ou faire grandir votre startup ? Le Guide des Startups est pour vous. Si vous venez de le découvrir, ce n’est pas trop grave. Cett
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AI Diagnosis Tool Bridges The Gap Between Doctors And Patients

AI Diagnosis Tool Bridges The Gap Between Doctors And Patients | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
The healthcare sector is facing a host of severe problems that do not have one overarching solution. Globally there is a shortage of 7.2 million healthcare workers, and a rapidly aging population will only add more strain to the doctors that remain. New technology powered by AI could provide the relief that physicians need, but there are many obstacles in implementing new technology, and radical systemic change may not help healthcare improve in the short term.

The AI healthcare market is expected to reach nearly $20B by 2024, and the big four tech companies have made clear their plans to take their own slice of the pie - but without the right approach, AI and emerging tech may just give doctors more to think about. With so much business potential at stake, and such a complex operational landscape to navigate, will emerging technologies alleviate the burden on doctors, or simply cause more problems?

Bringing medicine to the edge

Anyone thinking of introducing technology into the healthcare sector has to conform with strict regulations around patient information and physician practices, and navigate some of the largest obstacles to entry of any industry. Hospitals are incredibly bureaucratic places that make it difficult for any decision to be made without spending hours on patient administration. This bureaucracy, coupled with a lack of doctors and high instances of burnout, means that learning an entirely new technology-enabled system is not feasible for doctors. ‘You have an enormous cultural shift in behavior that has to happen,’ says Art Papier, CEO of VisualDx an AI diagnostic system, ‘it’s not going to happen overnight.’

As a way of bringing AI into the healthcare sphere without interrupting physicians, companies are bringing healthcare closer to the customer, with a huge increase in health apps over recent years promoting a healthy lifestyle. Increasing focus on healthy living and preventative care through technology could allow physicians to interact more frequently with patients remotely, and provide more actionable information before a patient even enters the hospital. Reducing the number of people that are referred to hospital in the first place, thereby reducing the workload of medical specialists, could also avoid serious problems of overtreatment and medical errors that are rife in the US.

Via Dominique Godefroy
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40 millions d'euros supplémentaires pour l'assurance santé digitale d'Alan  #esante #hcsmeufr #digitalhealth

40 millions d'euros supplémentaires pour l'assurance santé digitale d'Alan  #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Le montant La start-up parisienne Alan, qui a créé une assurance complémentaire santé digitale, a bo

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AI Is Rapidly Augmenting Healthcare and Longevity

AI Is Rapidly Augmenting Healthcare and Longevity | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
AI is about the eat healthcare, resulting in dramatic acceleration of longevity research and an amplification of the human healthspan.
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AI’s anatomy - toward augmented healthcare

AI’s anatomy - toward augmented healthcare | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Will the healthcare sector be able to unleash the power of AI to profoundly redesign medicine for the better of humankind? Let’s find out…

The possibilities that intelligent systems hold and the disruption that will be driven by them will sooner rather than later require a change in the mindset, concerning social and economic factors. While the emergence of Artificial Intelligence (AI) has started a political and economic struggle between countries over gaining AI supremacy. It has also caused a technological shift that gradually affects almost every industry. Especially, the healthcare sector is said to be influenced the most by this change. If applied correctly this technology may lead to an aspired improvement in patient care.

What sounds like a spell in the first place can be explained by two main factors. First, the revolution of AI is primarily being driven by the rapid progress in computational power as well as increased access to a huge amount of data. Secondly, when this is combined with the machine learning methods, it can be used to discover patterns and develop relationships in large data sets in a manner that humans are hardly capable of – but which is imitating human intelligence.


AI unleashing new potential

The opportunities that AI presents to the healthcare sector can be described through the following five levels and it could give birth to the concept of augmented doctors.

Monitor – First level includes AI being able to monitor patient data. MIT researchers recently came up with the idea of a wireless smart-home system that can possibly improve elderly care. Within the framework of their latest project called “RF-Pose”[1], the CSAIL developed an AI system that is able to detect radio signals behind walls caused by human bodies in order to sense their activities. According to the team, their way of using neural networks to analyze human movements and postures allows for monitoring certain diseases such as Parkinson or multiple sclerosis. This means, as a corollary, that physicians can use these insights to adjust medications for an optimal patient treatment.[2]

Preventing – The second dimension of AI in healthcare enables preventing critical health events and danger. The Berlin Start-Up xbird claims that it will “save one million lives by 2020”[3]. How? It identifies symptoms of diseases in early stages by using a combination of data collection through smartphone sensors and pattern recognition. This project, which is financed by the EU, enables physicians to improve diagnoses and decision-making in order to personalize patient treatment.

Identifying – On a third and more advanced level, AI is capable of identifying patterns and diseases. While xbird’s solution focuses on behavior and environmental impacts, KI elements [4] makes use of speech recognition to detect and diagnose cognitive disorders such as dementia. Their app records voice data and then automatically extracts and evaluates scientific metrics which helps clinicians to make more informed and professional decisions.


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Volta Medical teste l’intelligence artificielle en chirurgie cardiaque  #esante #hcsmeufr #digitalhealth

Volta Medical teste l’intelligence artificielle en chirurgie cardiaque  #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it

La start-up marseillaise Volta Medical a mis au point un logiciel d’intelligence artificielle pour guider les cardiologues durant leurs interventions chirurgicales. Sa levée de fonds de 2,3 millions d’euros va contribuer à financer une étude européenne pour en démontrer les performances.
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Prevennt2Care : un incubateur de start_up dans le domaine de la santé #esante #hcsmeufr

Prevennt2Care : un incubateur de start_up dans le domaine de la santé #esante #hcsmeufr | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
La Fondation Ramsay Générale de Santé lance la 2ème édition du Prevent2Care Lab
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Cancer : "Une IA pourra bientôt juger de l'agressivité d'une tumeur" - L'Express  #esante #hcsmeufr #digitalhealth

Cancer : "Une IA pourra bientôt juger de l'agressivité d'une tumeur" - L'Express  #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Demain, l'intelligence artificielle améliorera le diagnostic et le traitement des cancers. Interview du Dr Alain Livartowski.
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IBM Watson Health’s chief health officer talks healthcare challenges and AI  #esante #hcsmeufr #digitalhealth

IBM Watson Health’s chief health officer talks healthcare challenges and AI  #esante #hcsmeufr #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
In a wide-ranging HIMSS19 week conversation with Healthcare IT News, Dr. Kyu Rhee discusses artificial intelligence, value-based care, healthcare quality, and how client health system Health Quest is dealing with PCMH, MIPS, CPC+ and HEDIS efforts.

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Florian Morandeau's curator insight, February 14, 1:17 AM

With AI, Healthcare providers are living through an unprecedented era of disruption.

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Why Healthtech Needs More Female Leaders #hcsmeufr #esante #digitalhealth

Why Healthtech Needs More Female Leaders #hcsmeufr #esante #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
The healthtech sector has a severe lack of women in leadership positions, and healthcare overall reflects this trend. How can we start to address this challenge as an industry? While there is no single cure, there are a number of remedies that can make a big difference.
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​How to differentiate between AI, machine learning, and deep learning #hcsmeufr #esante #digitalhealth

​How to differentiate between AI, machine learning, and deep learning #hcsmeufr #esante #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Tech leaders need to put AI and its subcategories into practice--and into common business vocabulary that everyone can understand.
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Apple hosts heart health night at Union Square San Francisco store #hcsmeufr #esante #digitalhealth

Apple hosts heart health night at Union Square San Francisco store #hcsmeufr #esante #digitalhealth | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
Apple's health team made a rare public appearance at its Union Square Apple Store in San Francisco on Monday evening. The primary topic of the discussion was heart health.
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JSG-Effectiveness of a Behavior Change Technique–Based Smartphone Game to Improve Intrinsic Motivation and Physical Activity Adherence in Patients With Type 2 Diabetes: Randomized Controlled Trial ...

JSG-Effectiveness of a Behavior Change Technique–Based Smartphone Game to Improve Intrinsic Motivation and Physical Activity Adherence in Patients With Type 2 Diabetes: Randomized Controlled Trial ... | GAFAMS, STARTUPS & INNOVATION IN HEALTHCARE by PHARMAGEEK | Scoop.it
A multidisciplinary journal on gaming and gamification for health education/promotion, teaching and social change.
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