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Digital Phenotyping: emerging HealthTech sub sector is 'one to watch in 2024 and 2025'

Lloyd Price

Exec Summary: Digital phenotyping is a rapidly growing field that uses data collected from personal digital devices to measure and understand human behaviour and health. Development of personalized interventions: Digital phenotyping data can be used to develop interventions that are tailored to the specific needs of each patient.

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Personal Health LLM's to emerge in HealthTech 2024?

Lloyd Price

LLMs are essentially AI models trained on massive amounts of health data and text. What can Personal health LLMs do? Health Coaching: Imagine a virtual coach that can analyze your health data (with your permission, of course) and provide personalized recommendations for diet, exercise, and overall well-being.

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DMEA 2024 Berlin: What are the key talking points likely to be?

Lloyd Price

Health Equity in Digital Health: How can we ensure everyone has fair and just access to digital health tools? Addressing the digital divide, affordability, usability, and data privacy concerns.

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Patient Portals and 'Answer Engines' to emerge as a powerful duo in HealthTech 2024?

Lloyd Price

Overall, answer engines and generative AI hold immense potential to improve information access, personalise healthcare experiences, and accelerate medical advancements in the healthtech industry. Privacy Concerns: Data privacy is paramount. This can enhance patient understanding and retention of key medical details.

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Veradigm Announces Strategic Investment in Holmusk

Healthcare IT Today

formerly Allscripts Healthcare Solutions, Inc., announced today an investment in Holmusk , a global behavioral health real-world evidence and data analytics company, as part of Holmusk’s $45 million series B financing round. Holmusk has proven expertise to create the evidence needed to improve mental health.

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AI Health Companion for Personalized Healthcare in 2024

NiftyHMS

It supports patients in understanding their symptoms, gives initial advice on whether to see a doctor and provides relevant health information. Health Monitoring: The AI companion can collect and analyze real-time health data from wearables, smart devices, or other sensors to monitor patients’ vital signs and health conditions remotely.

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Artificial Emotional Intelligence: What exactly is it? What is the potential of AEI in Healthcare?

Lloyd Price

Mental health: AEI systems can be used to develop new treatments for mental health conditions by providing personalized feedback and support. The lack of large-scale datasets of labeled emotional data: Collecting and labeling data on human emotions is a difficult and time-consuming task.