Is Your Child's ADHD Medication Wrong? AI Might Have the Answer

FEATURED RESEARCH

Is Your Child's ADHD Medication Wrong? AI Might Have the Answer

Researchers are taking big strides in improving ADHD treatment, and this latest study could really make a difference for kids who struggle with it.

Using advanced brain imaging and AI, scientists discovered two distinct types of ADHD, or “biotypes.” These biotypes don’t just look different in brain scans; they also respond differently to medications. That’s where things get interesting.

What’s new? By analyzing data from over 1,000 kids, the researchers found that one group had milder symptoms, while the other dealt with more severe hyperactivity and cognitive issues.

Here’s the cool part: they tested medications and saw that each biotype responded better to a specific treatment. So, instead of the current trial-and-error method, doctors could start matching medications to the patient’s unique brain type.

Why this matters: ADHD treatment can feel like a guessing game, with kids often trying multiple meds before finding the right one.

This research could change that. If doctors can target treatment based on brain patterns, it means quicker relief and more effective care for kids who need it most.

It’s still early, but this study is a big step toward personalized ADHD treatment. Less trial and error, more tailored care—who wouldn’t want that?

For more details: Full Article

Brain Booster

Select the right answer! (See explanation below)

Funds Raised

💰 11 Funded companies

1. Basecamp Research raised $60M in Series B funding, led by Singular, to expand its AI-driven biological design platform, which collaborates with biopharma and research institutions to develop novel proteins and genetic medicines. [Link]

2. Paris-based Qantev raised €30M, led by Blossom Capital, to scale its AI-driven health insurance claims platform and expand globally. [Link]

3. Suki raised $70M, led by Hedosophia, to expand its AI-powered healthcare solutions, including its voice assistant for clinical documentation, bringing total funding to $165M. [Link]

4. Yung Sidekick raised $825K to develop its AI platform, which automates progress notes for mental health professionals. [Link]

5. SPRY Therapeutics, an AI-driven platform for physical therapists, raised $15M from Flourish Ventures and others to expand its integrated practice management solution across the U.S. [Link]

6. Indian mental health platform Lissun raised $3M in pre-Series A funding to integrate AI into its digital mental health solutions for corporates, schools, and families. [Link]

7. Maven Clinic raised $125M at a $1.7B valuation to continue transforming women's and family health with its digital care platform, focusing on AI-powered patient engagement and value-based care. [Link]

8. Univa Health raised €1.2M to develop its AI-powered platform for personalized eating disorder care, enabling better patient monitoring and support for clinical teams. [Link]

9. Glooko raised $100M in a Series F round led by Georgian and appointed Mike Alvarez as CEO to accelerate global growth of its AI-driven digital health platform, focused on managing chronic conditions like diabetes. [Link]

10. RadiantGraph raised $11 million in a Series A round to expand its AI-driven platform for personalized engagement in healthcare, following a 1,400% growth since launch and supporting over 3.5 million people. [Link]

11. Centaur Labs raised $16M Series B to expand its AI health data annotation platform and launched an on-demand labeling product for faster model training. [Link]

New Partnerships

🤝 4 Other collaborations shaping the future

1. DiMe, Google, and Mayo Clinic have partnered to develop best practices for AI implementation in healthcare, focusing on practical resources for integration, equity, safety, compliance, and scalability. [Link]

2. Kipu Health partnered with AWS to create AI tools that automate administrative tasks in behavioral health, freeing clinicians to focus more on patient care. [Link]

3. Insitro partnered with Eli Lilly to advance AI-discovered siRNA molecules, using Lilly's GalNAc delivery tech for liver disease treatments. [Link]

4. Tonix Pharmaceuticals announced an AI collaboration with X-Chem to accelerate development of broad-spectrum antivirals, supported by a $34 million U.S. Department of Defense contract for its TNX-4200 antiviral program. [Link]

Milestone Moments

⚡1 Product launch, 1 acquisition, 4 regulatory approval

1. NVIDIA has deployed its AI-powered NIM and NIM Agent Blueprints in the U.S. healthcare system, helping institutions like the NIH and NCATS accelerate cancer detection, drug discovery, and rare disease research through AI-driven workflows and cloud-native services. [Link]

2. AccurKardia received FDA Breakthrough Device Designation for its AI-powered ECG software to detect aortic valve stenosis, aiming to improve early diagnosis and patient outcomes. [Link]

3. Echo IQ received FDA 510(k) clearance for its AI-powered software, EchoSolv AS, which assists in diagnosing severe aortic stenosis, with plans to expand its U.S. presence and pursue reimbursement codes for broader adoption. [Link]

4. Resilience Lab acquired Options MD to integrate its medication management and psychotherapy services into its mental health platform, including AI-enabled diagnosis and treatment recommendations for severe mental illness. [Link]

5. Denovo Biopharma's AI-powered biomarker platform helped secure FDA Fast Track status for DB104 (liafensine), targeting treatment-resistant depression with a personalized approach. [Link]

6. Springbok Analytics received FDA clearance for its AI-based MuscleView™ platform, advancing muscle health analysis from MRI scans. [Link]

Opinion and Perspectives

AI IN HEALTHCARE

The Surprising Skill Gap That Could Derail AI in Hospitals

As health systems dive into AI to improve patient care and streamline operations, a major challenge emerges: Do they have the IT talent to pull it off?

Despite heavy investments in AI, hospitals are finding it hard to fill critical tech roles.

The talent gap: Even well-resourced hospitals struggle with recruiting skilled IT professionals for AI initiatives. “Most hospitals, even well-resourced ones, struggle with talent,” said Dennis Chornenky, chief AI adviser at UC Davis Health.

Why healthcare is different: Sarah Hatchett, CIO at Cleveland Clinic, pointed out that AI in healthcare requires more than just technical skills.

It demands expertise in data science, machine learning, and navigating regulations like HIPAA, making recruitment even tougher. Some health systems may have to turn to outside vendors to fill these gaps.

A focus on upskilling: Instead of relying solely on new hires, UCSF Health is upskilling its current workforce to meet AI demands.

"It’s about having employees with the right skill sets," said Sara Murray, MD, chief health AI officer at UCSF Health.

Ultimately, health systems need to address both staffing and expertise challenges if they want AI to succeed.

For more details: Full Article

We Value Your Thoughts!

Trivia Answer: B) Pumpkin

Though it may seem surprising, pumpkins are botanically classified as a type of berry called a pepo. Unlike apples or cherries, which are not berries, pumpkins develop from a single ovary and contain seeds, fitting the botanical definition of a berry. Fun twist: strawberries aren't true berries either!

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