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Read Google SensorFM: One Trillion Minutes of Wearable AI Data
Profile photo of Nicole Dale
Nicole Dale

Google SensorFM: One Trillion Minutes of Wearable AI Data

Pharmatica image representing the Google SensorFM wearable AI foundation model analysing one trillion minutes of wearable health data for digital biomarkers, clinical research, and pharmaceutical innovation.

Google SensorFM was pretrained on over one trillion minutes of wearable data. Discover what this AI foundation model could mean for digital health and pharma.

Wearables
Read WHOOP x Natural Cycles: Wearable Health Data x Women’s Health
Profile photo of Nicole Dale
Nicole Dale

WHOOP x Natural Cycles: Wearable Health Data x Women’s Health

Pharmatica image that represents a WHOOP wearable and Natural Cycles smartphone app, illustrating wearable health data, women's health monitoring, and digital health technology.

WHOOP and Natural Cycles show how wearable health data is moving into regulated digital health, creating new opportunities for women’s health and pharma.

Wearables
Read Digital Measures in Clinical Trials: FDA vs EMA Pathways
Profile photo of Nicole Dale
Nicole Dale

Digital Measures in Clinical Trials: FDA vs EMA Pathways

Clinician reviewing digital measures in clinical trials on a tablet, illustrating regulatory acceptance of digital health technologies, digital biomarkers, and FDA and EMA qualification pathways for modern clinical research.

Explore how novel digital measures gain regulatory acceptance in clinical trials, comparing FDA-structured pathways with EMA engagement-led frameworks.

Medical Devices
Read Where Healthcare AI Investment Is Going — And Where It Isn't
Profile photo of Nicole Dale
Nicole Dale

Where Healthcare AI Investment Is Going — And Where It Isn't

Healthcare AI investment visualisation showing an advanced artificial intelligence network connected to pharmaceutical research, molecular data, and digital health systems. The image represents AI investment trends in healthcare, pharmaceutical innovation, biotech intelligence, machine learning in drug discovery, and the future of healthcare technology.

The data is out: Two-thirds of AI healthcare startup investment went to just three domains. Insight into clinical leadership, gender inclusivity, and geographical access reveals a sector building for investability… not clinical need.

AI & Machine Learning
Read The AI Bioweapons Risk: We Cannot Afford to Look Away
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Nicole Dale

The AI Bioweapons Risk: We Cannot Afford to Look Away

Abstract visualisation of AI bioweapons risk showing a connected hexagonal network and glowing AI hub, symbolising biosecurity challenges, gene synthesis screening vulnerabilities, biotechnology innovation, and governance in the pharmaceutical industry.

The risk of AI being used to create a bioweapon is a serious concern for pharma biosecurity after researchers found AI-designed toxins can evade DNA screening. Here’s what you need to know about the AI and bioweapons risk.

AI & Machine Learning
Read AI in Pharma: Hype vs. What Actually Works
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Shubhangi Dua

AI in Pharma: Hype vs. What Actually Works

In the recent episode of the Digital Pulse podcast, host Shubhangi Dua, Podcast Producer and B2B Journalist, sat down with Lara Masad, an AI and Data Innovation independent consultant, to clarify the key distinctions in AI and machine learning models. Furthermore, Masad explains how pharmaceutical companies benefit from using AI models.

Expert Lara Masad explains why pharma leaders miscalculate AI investments and how to build a defensible validation strategy.

AI & Machine Learning
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