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Venturerock is an Impact Venture Builder empowering founders who dare to change systems. From this new Fund-of-Funds, VentureRock will invest in early-stage startups that leverage technology, science and innovation to build sustainable, impact-driven solutions and unlock new-age business models for Retail, Real-Estate, Logistics, FinTech and Agriculture. This will be done through Venturerock's Special Purpose Investment Company (SPIC) structure, that implements the legal and operational processes needed to safeguard the ventures' success. Founded in 2018 in Amsterdam, VentureRock is now activ...

Waze Malaysia's country lead Kelvin Sim heads to AirAsia's Redbeat Academy Details 14 April 2021 Kelvin Sim, former country lead at Waze Malaysia, has joined Redbeat Academy as commercial director. Redbeat Academy, a collaboration between AirAsia Digital and Waze's parent firm Google, was initially set up to upskill and cross-train AirAsia employees on AI, machine learning, cybersecurity, big data, and software engineering. It officially opened its doors to the public last October. The academy focuses on five segments: AirAsia Allstars, corporate and...

How a Team from MIT is Using an AI Tool to Detect Melanoma Thought LeadersLuis R. Soenksen Ph.D.Research Scientist and Venture Builder Massachusetts Institute of Technology AZoRobotics speaks with Luis R. Soenksen, entrepreneur and medical device expert, currently acting as MIT's first Venture Builder in Artificial Intelligence and Healthcare. Luis was part of a team that has developed a system that uses neural networks to spot 'ugly duckling' pre-cancerous lesions on a patient's skin, helping to detect melanoma more efficiently.  Can you give our readers a summary of your ...

Using deep learning algorithm to spot skin cancer Updated: Updated: April 07, 2021 13:39 IST The researchers tested the system against visually classified lesions by dermatologists and found that it achieved over 90% sensitivity in distinguishing SPLs from nonsuspicious lesions, skin, and complex backgrounds. Share Article AAA Suspicious pigmented lesions, which can be indicative of skin cancer, are normally spotted by physicians through visual examination.   | Photo Credit: Getty Images The researchers tested the system against visually classified lesions by dermatologists and found that it...

AI System Analyzes Wide-Field Images of Skin of Melanoma Patients Written by AZoRoboticsApr 5 2021 Melanoma is a kind of malignant tumor that causes over 70% of all skin cancer-related deaths across the world. For several years, physicians have depended on visual inspection to determine suspicious pigmented lesions (SPLs), which could indicate the occurrence of skin cancer. Image Credit: Animation courtesy of the researchers. In primary care settings, such early-stage determination of SPLs can enhance melanoma prognosis and considerably reduce the treatment cost. The difficulty is that it is ...