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Resilience is an ambitious bet to improve cancer treatment – TechCrunch

Resilience is an ambitious bet to improve cancer treatment How two French entrepreneurs are methodically deconstructing and reconstructing cancer treatment to improve its efficiency Meet Resilience, a new startup that wants to help cancer treatment institutes as well as cancer patients at every step of the treatment journey. It’s an ambitious project founded by two well-known French entrepreneurs. They want to leverage their tech skills for this new healthcare startup. Behind the scenes, there are two co-CEOs Céline Lazorthes and Jonathan Benhamou. Nicolas Helleringer and Matthieu Pozza are the two remaining co-founders acting as CTO and CPO, respectively. Lazorthes previously co-founded Leetchi, the leading money pot company in France. She also started MangoPay, a marketplace payment solution, as a spinout company. Crédit Mutuel Arkéa acquired both companies.

Raffi kamberThomas clozel owkinNicolas helleringerGustave roussyJonathan benhamouJean charles samuelian alanPhilippe dabi bioclinicMeet resilienceMatthieu pozzaMutuel arkFriedman capital partnersNathalie ballaXavier nielJean charles samuelianRoxanne varzaCharles fert

Medtech : Resilience lève 5 millions pour contrer le cancer

Medtech : Resilience lève 5 millions pour contrer le cancer
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Thomas clozelFabrice andrPhilippe dhabiResearch of the instituteNever againIrish gustaveInstitute medicalUrgency eastதுணி அன்றுஆராய்ச்சி ஆஃப் தி நிறுவனம்ஒருபோதும் மறுபடியும்நிறுவனம் மருத்துவ

New AI-severity score COVID-19 integrating CT images published to Nature Communications

E-Mail Paris, France, January 27th 2021 COVID-19 vaccine distribution has begun across the globe, while many countries are still struggling with the rampant rise of infections. Owkin, a French-American startup pioneering AI and Federated Learning in medical research, has been focusing it s COVID-19 research efforts on aspects of the pandemic that still require much public health attention, despite the arrival of an effective vaccine. Efforts to support frontline health systems as they devote their resources to the influx of COVID-19 related hospitalizations, have resulted in the AI-Severity Score, published in Nature Communications this week . This machine learning model, trained on multimodal data sets that include CT scans of the lungs (a routine procedure upon admission), is plug and play and able to predict the severity of a patient s disease prognosis with a performance that surpasses all other currently published score benchmarks. Use of these scores supports hospital

United statesFrance generalGilles wainribThomas clozelInstitut gustave roussyNature communicationsDigital vision centerFederated learningSeverity scoreNature medicineஒன்றுபட்டது மாநிலங்களில்பிரான்ஸ் ஜநரல்இயற்கை தகவல்தொடர்புகள்டிஜிட்டல் பார்வை மையம்கூட்டமைப்பு கற்றல்தீவிரம் மதிப்பெண்