Biopharma companies are harnessing AI tools for multiple aspects of drug development such as identifying drug development targets, modeling a drug’s effect on the body, and more.

Many experts think technology will help mitigate healthcare’s burnout crisis and workforce shortage, but the healthcare industry still has a lot to figure out when it comes to choosing which tools to deploy and getting its workers on board with these new tools, according to a new report from GE HealthCare.

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No matter how much data the AI has on you, missing is the personal relationship. Emerging tech, wearables—all that is great. But at the end of the day, so much of it still depends on interpersonal relationship building and leveraging, adding an intelligence layer to the loop.

Model building is now simplified more than ever because of automation and tool intelligence achieved in model building. With a surplus of MLOps tools, users of all sizes and backgrounds are now focusing on model manufacturing. But the question remains – are all models usable? 

Machine learning algorithms have reached a familiar milestone in the healthcare industry –in order for them to be more widely embraced by providers, different approaches to roadtesting and validating them are underway.

GSK is making greater use of artificial intelligence and computational techniques as part of its drug discovery efforts. Speaking during the HLTH conference in Las Vegas, executive Mike Montello likened his company’s techniques to the efforts to study and analyze images from outer space.

Alviss.ai CEO and Founder Dr. Pavel Overtchouk talks about how the company’s stroke prediction software seeks to be the first attempt to apply predictive medicine to cardiovascular interventions and heart surgery.

Mount Sinai researchers published a study that could improve neuroscientists’ understanding of the progression of Alzheimer’s and other forms of cognitive decline. It proved that white matter may be a more important region to look at than was previously thought.

As part of its Envision U.S. Healthcare Summit, Microsoft conducted interviews with executives at Aetna CVS Health and Humana to highlight some of the ways these companies are adapting to consumerization of healthcare.

Health systems are seeing increased operational efficiency after applying machine learning analytics to their operating room block scheduling. Given the multitude of challenges health systems face — from increased labor costs to material shortages to reimbursement woes — some health system digital executives say it’s critical that hospitals incorporate machine learning into their block schedules sooner rather than later.

Pharma companies already rely heavily on data and predictive analytics to assess new drugs. In the same way, analytics can be used to enhance legal advice and improve litigation strategies.

The goal of implementing artificial intelligence and machine learning in clinical research is not to replace humans with digital tools but to increase their productivity.

The voice solution Suki Assistant uses machine learning and natural language processing to accurately understand and document information and respond to physician commands, according to the company.

To avoid the “trends trap” of heightening the health tech disconnect in the wake of innovation, we must consider how best to proceed in investing and building new technologies that enable long-term transformation of care delivery, not just this year’s trends.

As we near two years since Covid-19 first struck the U.S., our healthcare system continues […]

The life sciences industry is more quickly adapting to new methods, standards and requirements. The focus is now on how to drive greater data governance and quality through a unified framework.  The challenge comes in instituting a framework that will meet regulatory and labeling requirements.

Learn how healthcare organizations are working with Microsoft to enhance patient engagement, accelerate healthcare innovation, support collaboration, improve clinical and operational insights and transform healthcare in the cloud.

Beth Hoffman, Origami Therapeutics CEO, talks about how the company’s platform enables the discovery and development of protein degraders and conformation correctors to match the best drug to treat neurodegenerative diseases, such as Huntington’s disease.

Microsoft seeks to change the way pharma industry companies use technology to navigate human resource challenges and restore confidence in drug development supply chains.

When CMS overpays for services, providers and commercial payers are responsible for paying the agency back, and at times, they are on the hook for millions of dollars. But technology can help healthcare stakeholders catch the mistakes that lead to overpayments, thereby reducing unnecessary costs.

ClosedLoop.ai, an Austin-based healthcare startup, raised new funding after being picked by CMS as the winner of its AI Health Outcomes Challenge. The company’s secret? Working with health systems to build algorithms that are explainable. 

Emotional AI has broad applications across mental health, remote monitoring (through voice and other biometrics e.g. blood pressure, heart beat) and telehealth.

Bayesian Health, a startup created by a machine learning researcher at Johns Hopkins, is building models for sepsis detection, patient deterioration and bedsores. The company recently emerged from stealth mode with backing from Andreessen Horowitz. 

It’s time to gear our machine learning tools to this data so that people with chronic illnesses—and especially, complex chronic conditions—can get the same kind of recommendations that they use every day to pick their movies or music or buy goods on the Internet.

An action plan shared by the FDA earlier this year showed how the regulator is thinking about future regulations for AI and machine learning in healthcare. But the agency still has several big questions to address as it prepares to roll out new guidance.

Interline Therapeutics has technology that shows how proteins interact as communities, paving the way for the discovery of new drugs. CEO Zachary Sweeney, a Denali Therapeutics veteran, said the startup will use the $92 million in funding to advance programs in cancer and inflammatory diseases.

In response to emailed questions, the CEO and CTO talk about the immune intelligence startup’s Human Immunity Map — a growing database of immune interactions that can support the development of multiplex diagnostics, vaccines and therapeutics.

A new startup has entered the highly competitive insurtech market — with $50 million in new funds. Circulo, co-founded by Olive CEO Sean Lane, is a Medicaid managed care company that plans to build a platform to improve care delivery and member experience.