Novartis and Pear Therapeutics to Develop Digital Therapeutics for Patients with Schizophrenia and Multiple Sclerosis

NovartisNovartis has entered into a collaboration with Pear Therapeutics to develop novel prescription digital therapeutics, software applications designed to effectively treat disease and improve clinical outcomes for patients. The collaboration brings together Novartis expertise in biomedical research and clinical development with Pear's leading experience in digital therapeutics design and implementation.

Novartis and Pear will work together towards developing new treatments for patients with schizophrenia and multiple sclerosis to better address the full burden of their illnesses. Pear's prescription digital therapeutics are designed to deliver clinically-proven treatments[1],[2], such as cognitive behavioral therapy, to patients through mobile and desktop applications. Once approved, they may be prescribed alongside drug therapies and have the potential to be developed to treat a range of diseases.

"Psychiatric and neurodegenerative diseases place a heavy physical, mental and economic burden on patients and their families," said Jay Bradner, M.D., President of the Novartis Institutes for Biomedical Research. "With widespread adoption of digital devices, prescription digital therapeutics could potentially play an important role in future treatment models for a range of diseases with high unmet medical need."

Novartis will work with Pear to advance clinical development of their THRIVE(TM) digital therapeutic for patients with schizophrenia. THRIVE(TM) has demonstrated potential usability, retention and preliminary efficacy in patients with schizophrenia in early clinical studies.[3],[4],[5]. The companies will also collaborate to design and develop a new therapeutic application to address underserved mental health burden in patients with multiple sclerosis.

"We look forward to working with Novartis, an organization known for excellence in biomedical science, to develop much needed treatments for patients suffering from schizophrenia and multiple sclerosis," said Corey McCann, M.D., Ph.D., President and CEO of Pear. "Novartis shares our vision for prescription digital therapeutics that work alongside drugs to deliver superior patient outcomes. We believe this collaboration further supports the clinical viability of prescription digital therapeutics as an emerging treatment modality and we are poised to execute on that opportunity."

This collaboration is part of Novartis' strategic effort to work with innovative digital health leaders to drive the next wave of medical innovation. Novartis is collaborating to develop technologies to monitor patient data in real-time, detect day-to-day behavioral and biological changes in condition, improve patient adherence, and ultimately enhance treatment outcomes. Pear is a leader in developing prescription digital therapeutics, gaining the first FDA clearance, in September 2017, for a software application with a safety and efficacy label to treat patients. Novartis invested in Pear's Series B round of financing announced in January 2018.

About Novartis

Novartis provides innovative healthcare solutions that address the evolving needs of patients and societies. Headquartered in Basel, Switzerland, Novartis offers a diversified portfolio to best meet these needs: innovative medicines, cost-saving generic and biosimilar pharmaceuticals and eye care. Novartis has leading positions globally in each of these areas. In 2017, the Group achieved net sales of USD 49.1 billion, while R&D throughout the Group amounted to approximately USD 9.0 billion. Novartis Group companies employ approximately 122,000 full-time-equivalent associates. Novartis products are sold in approximately 155 countries around the world.

1. Butler AC1, Chapman JE, Forman EM, Beck AT. (2005) The empirical status of cognitive-behavioral therapy: a review of meta-analyses. Clinical Psychological Review https://www.ncbi.nlm.nih.gov/pubmed/21348158
2. Psychotherapy: Three approaches evaluated. (2004) https://www.ncbi.nlm.nih.gov/pubmed/16199119
3. Ben-Zeev, D., Brenner, C. J., Begale, M., Duffecy, J., Mohr, D. C., & Mueser, K. T. (2014). Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia. Schizophrenia Bulletin, 40(6), 1244-1253.
4. Ben-Zeev, D., Kaiser, S. M., Brenner, C. J., Begale, M., Duffecy, J., & Mohr, D. C. (2013). Development and Usability Testing of FOCUS: A Smartphone System for Self-Management of Schizophrenia. Psychiatric Rehabilitation Journal, 36(4), 289-296.
5. Ben-Zeev, D., Scherer, E. A., Gottlieb, J. D., Rotondi, A. J., Brunette, M. F., Achtyes, E. D., et al. (2016). mHealth for Schizophrenia: Patient Engagement With a Mobile Phone Intervention Following Hospital Discharge. JMIR Mental Health, 3(3), e34.

Most Popular Now

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...