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[New Post!] Analysis Reveals Less Than 60% of Industry-Funded Trials Comply with The Sunshine Act brackendata.com/blog-posts/cli… #pharma #biopharma #biotech #lifescience #trialcompliance #trialdisclosure

We’ve all come to recognize the rise and fall pattern of major trends that take hold in our world, as well as those that stick around. In this blog post, we delve into the Web3 and blockchain-related tech that will last in the space: hubs.la/Q01DFDCR0 #Blockchain #Pharma

AI can transform pharma companies' data management processes, including better recommendations on dosages. Explore the other capabilities of artificial intelligence and machine learning in this blog post: hubs.ly/Q01vK8y30 #AI #ML

Many of us in the life science industry could benefit from being more sophisticated in how we use data to support our sales processes. In this blog post, we explore six ways you can use clinical trial condition datasets to boost your sales strategy: hubs.la/Q01vKcRv0 #Sales

Researchers have developed a new way to calculate the risk of developing heart disease within the next 10 years using a basic chest X-ray and deep learning AI technology. Read about the new study and how researchers trained this model: hubs.la/Q01vK4Mv0 #AI #Radiology

Using data-informed insights from effectively implemented datasets and AI capabilities, sponsors can increase predictability in study planning, from protocol design to enrolment strategy. Find out more: hubs.ly/Q01vK6f20 #AI #TrialRecruitment

Not all kinds of deepfakes are bad. Deepfake technology can be used to create lifelike videos of humans to design new molecules that have the potential to treat diseases. Learn more about the potential use of this innovative technology: hubs.la/Q01vK8LY0 #AI #DeepFake

Pharma companies urgently need to strengthen their investment in antibiotics development, but they all face the problem of high costs and long development cycles. AI could reduce costs by up to 70%. Here's how: hubs.la/Q01s9WP80 #AI #Pharma

aR wearables bring together the real and the digital worlds to create new kinds of interactivity and perception. Read about how they could help streamline processes and maintain regulatory compliance in the pharma industry: hubs.la/Q01s9K810 #Wearables #Pharma

TrialTrends is an interactive tool that visualizes all completed clinical trials on ClinicalTrials. gov to show users macro clinical trial activity trends. Sign up and give it a try: hubs.la/Q01s9VFH0 #ClinicalTrials #TrialTrends

There are critical gaps when it comes to using digital systems and data to enhance performance, business results, and brand reputation in pharma and digital health. Download this whitepaper to learn how to make the most of your data: hubs.la/Q01s9VF90 #Data #DigitalHealth

Medtech AI developers need to be transparent not only about how their algorithms work but also about their intended results and how, exactly, they’ll use patient data. A core part lies in the way AI-based technologies are labeled and marketed: hubs.la/Q01qZTmH0 #AI #MedTech

Walmart has launched a clinical trial recruitment service that will focus on older, rural, women, and minority populations. It will initially concentrate on chronic conditions and ‘innovative treatments’ to improve trial access for underserved communities: hubs.la/Q01qZS7j0

Read about how the FDA’s new draft guidance regarding the integration of real-world data and real-world evidence will affect clinical trial design, data capture, and analysis, as well as the broader impact it will have on patients: hubs.la/Q01qZPYF0 #RWE #FDA

Using AI in drug discovery isn’t something new. What’s new is the hype. While AI is more than just the hype, its implementation in drug discovery requires reasonable expectations, clean data, and collaboration. Let’s take a closer look: hubs.la/Q01qZWcs0 #AI #DrugDev

[Industry news] Google is rolling out a new service called Device Connect for Fitbit, which aims to reduce barriers to harnessing Fitbit data for patient monitoring programs and research and population health projects. Find out more: hubs.la/Q01qZTyN0 #Wearables #Healthcare

AI and machine learning can translate the data collected through interactions with healthcare providers into actionable items for industry stakeholders. Read more about the technology behind this: hubs.la/Q01nKdfB0 #Pharma #AI

Google and Fitbit have launched a solution aimed at helping healthcare providers gain insights from wearable data. The companies say it supports chronic disease management, drives population health impact, and advances clinical research: hubs.la/Q01nKbrZ0 #Wearables

The life science industry is flush with data, but how can sales teams hone in on the most actionable data to build revenue? This blog post has the answer: hubs.la/Q01nKd9W0 #LifeSci #Sales

The emergence of digiceuticals as a way to track patient data from wearables and make real-time treatment recommendations is a growing trend. Find out how pharma companies can leverage digiceuticals and the role of big data and analytics: hubs.la/Q01nKbNB0 #Digiceuticals

As more and more biotechs are looking into the potential applications of using real-world evidence in regulatory submissions, the European Medicines Agency is calling for more widespread adoption: hubs.la/Q01lt2xh0 #Data #Pharma via @endpts