Explore our articles, case studies, and videos offering practical strategies and insights into how AI & Data is transforming the Healthcare Industry.
Our latest articles on healthcare
Long gone are the days where you had to buy hardware, create server rooms and hire, train, and maintain a dedicated team to run it. Cloud-based data platforms are the new norm. They offer a more agile, scalable, and cost-effective approach to managing and leveraging data. But does that mean the traditional data platforms are dead?
We're living in what could be the most important century. And at the center of this era is Artificial Intelligence and data science, reshaping all aspects of our lives. So we sat down with Visium's founders, Alen Arslanagic, Timon Zimmerman and Matteo Togninalli, to explore their perspective on the challenges and opportunities of AI adoption and on building a customer-centric and authentic AI and data company.
AI and ML in healthcare, backed by data availability, are transforming patient care. Examples like FDA-approved AI/ML medical devices and AI-enhanced autoinjectors illustrate their impact in diagnostics and care delivery, improving accuracy and patient outcomes. So what are some of the most transformative applications of AI and Machine Learning in healthcare?
Talking about AI, Data, and ML
Matteo Togninalli, COO of Visium discusses the future of Healthcare and Pharma, particularly the role of real-world data (RWD) and real-world evidence (RWE) in driving innovation and competition in the industry.
Many companies struggle with bringing machine learning models into production. What's holding them back? Lucas Nottaris, Associate Principal at Visium walks the audience through the main reasons most AI initiatives fails and how to avoid them.
Watch the joint presentation by Roche and Visium with Matteo Togninalli and Vanessa Schumacher about how Machine Learning can reduce bottlenecks in drug clinical trials and help upskill digital pathologists.
