Future Medicine AI

13/09/2024

🦠New AI model significantly improves prediction of antigen-immune cell interactions, potentially accelerating vaccine development. Learn how this could transform our response to future pandemics.

Innovative AI predicts antigen-protein interactions better, streamlining vaccine engineering and boosting response to global health threats.

11/09/2024

Researchers are testing an innovative app that analyzes typing patterns to assess cognitive health and monitor depression.

By tracking subtle changes in behavior, the app aims to identify different types of depression for more personalized treatment.

Discover more in our latest article!

Researchers are developing new AI tools to help doctors provide personalized diagnosis and treatment for depression.

07/09/2024

Did you know Google DeepMind announced a new AI model this week? It's called AlphaProteo. Unlike Alpha Fold 3, which predicts protein structure, AlphaProteo is designed for creating novel proteins. Want to learn more? Check out our latest article here:
https://eu1.hubs.ly/H0c9vYL0

Google DeepMind have unveiled AlphaProteo, an AI system capable of designing novel proteins that bind to target molecules with unprecedented accuracy and strength.

02/09/2024

🧠🤖 New study reveals how AI is analyzing brain activity to diagnose dementia faster and more accurately. Find out how in our latest article: https://eu1.hubs.ly/H0c3fkq0

A new study offers fresh insights into brain activity data, suggesting it could help with early dementia diagnosis.

30/08/2024

We're delighted to announce our latest Expert Insight episode where we explore how AI is changing the landscape of mental health care with two leading voices from The Centre for Addiction and Mental Health (Canada): Mary Jane Dykeman and David Rotenburg.

We discuss the challenges and opportunities of implementing AI in healthcare, data strategy and governance approaches, and get a glimpse into some exciting projects underway in the field.

Check it out in the link below!

30/08/2024

Harnessing the power of AI, researchers have developed a model that significantly improves the accuracy of surgical decisions in breast cancer care. A potential leap forward for patient safety and treatment efficacy.

28/08/2024

🧬 Hibernation in Humans? A drug usually prescribed for Alzheimer’s could induce a state similar to short-term hibernation, thanks to cutting-edge AI research. This could be a game-changer in emergency medicine!
Find out more in our latest article: https://eu1.hubs.ly/H0b-Nss0

Researchers, using AI, have discovered that a drug used to treat Alzheimer’s can induce a reversible, hibernation-like state.

23/08/2024

From constant zaps to smart jolts: AI is fine-tuning deep brain stimulation for Parkinson's patients, empowering them sleep better and move easier. Get the full story in our latest article.
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providing real-time, personalized therapy based on continuous monitoring of brain activity, a new device developed...

21/08/2024

🏥 Is the NHS ready for AI?
The Tony Blair Institute calls for a Digital Health Record for every UK citizen, positioning it as crucial for the NHS's future and drive it to the forefront of healthcare innovation. In our latest article, we've picked apart the ~10,000 word report to cover the key points focussed on unifying fragmented health data and enabling AI-driven innovation.

The Tony Blaire Institute has proposed Digital Health Records as a solution to bring the NHS into a new era.

20/08/2024

💪🔬In the battle against antibiotic-resistant bacteria, AI is proving to be a powerful ally, predicting the next generation of life-saving drugs. Find out how in our latest article!

Researchers have developed a new AI machine learning framework that could be indispensable to the field of antibiotic drug development.

13/08/2024

Imagine a world where your everyday earbuds could detect when you're getting drowsy. UC Berkeley's groundbreaking technology combines AI with in-ear EEG sensors to do just that! This could be a revolution for workplace safety and health monitoring.

Engineers have created a pioneering AI-driven wearable: earbuds with in-ear EEG sensors that detect drowsiness by monitoring brain activity.

12/08/2024

By analyzing electronic health records of 8,651 patients, researchers discovered critical factors influencing sepsis progression and outcomes. Get the inside scoop on how AI is transforming our understanding of sepsis!

Researchers use AI to uncover hidden patterns in patient data, unlocking new insights into sepsis diagnosis & treatment.

10/08/2024

🎧🧠 Feeling sleepy? These new AI-powered earbuds from UC Berkeley might just save your life. By detecting drowsiness through in-ear EEG sensors, they could help prevent accidents before they happen!

Engineers have created a pioneering AI-driven wearable: earbuds with in-ear EEG sensors that detect drowsiness by monitoring brain activity.

10/08/2024

🧠 By analyzing electronic health records, AI is revealing the complex links between pre-existing conditions and sepsis outcomes. This could pave the way for more personalized, effective treatments. Learn more about this game-changing research!

Researchers use AI to uncover hidden patterns in patient data, unlocking new insights into sepsis diagnosis & treatment.

06/08/2024

🔬 Innovations in Histology: The fusion of second harmonic generation microscopy and AI is unlocking unparalleled insights into tissue collagen, paving the way for more accurate assessments of fibrosis dynamics. Discover more about this bleeding-edge technology in our latest FMAI Journal article.

A review article on applications of second harmonic generation digital pathology with artificial intelligence.

05/08/2024

Have you heard of second harmonic generation microscopy? Take a minute to learn about this cutting-edge tissue imaging technique and its powerful application for studying fibrosis within organs.

Second harmonic generation is a process whereby two photons of the same wavelength interact with a material to generate a photon with exactly half their wavelength.

Only certain materials, such as collagen for example, exhibit the correct properties for this process. By transforming the light that hits them, these materials create contrast in an image. Perfect for picking them out amongst other components.

Second harmonic generation microscopy’s potential for medical applications lies in its capability to image and characterize fibrosis in different organs such as the kidneys, liver and lungs, where increased fibrillar collagen density, associated with chronic diseases like diabetes, hepatitis, etc., correlates with poor prognoses.

Combined with AI techniques, the imaging method offers unparalleled quantification of fibrosis in tissues. It provides invaluable insights for monitoring disease progression and responses to treatment.

If you’re interested to learn more, check out this fantastic review published in our journal today!

By Nikolai V Naoumov, Elaine Chng. A review article on applications of second harmonic generation digital pathology with AI for detailed characterization and quantitative assessment of liver fibrosis, disease progression and treatment response in clinical trials.

29/07/2024

Check out our latest article about research uncovering flaws in GPT-4's medical capabilities!

New research unveils the underlying rationales for GPT-4's decisions in medical tests often contain significant flaws.

26/07/2024

Our first Product Showcase! In this video we take a look at NLSQL's work to supercharge clinical workflows through a chat-based interface with clinical databases. Such databases contain valuable information, yet are largely restricted to those with specialist technical knowledge.

By empowering staff with easy access to this data, new insights can be used to aid decision making, improving productivity and patient care significantly. Find out how on our site!

An intuitive chat-based system that empowers clinicians to search poorly-accessible data in clinical databases.

05/06/2024

How do you develop medical AI with miniscule amounts of publicly available data? Synthetic data is one solution. Find out how researchers have generated annotated medical imaging data to improve AI for diagnosing early-stage cancer:
https://eu1.hubs.ly/H09tBK80

Scientists have generated artificial tumours to address lacking data for training AI models, yielding impressive results.

31/05/2024

Scientists have developed a new topographic deep artificial neural network algorithm capable of predicting both the sensory responses and spatial organization of multiple parts of the human brain’s visual system.
Learn more about it in our latest article!

A new algorithm marks a major stride in using AI to replicate how the brain organizes sensory information.

09/05/2024

A new model for automated sleep stage analysis: ZleepAnlystNet boasts improved accuracy over previous methods using raw EEG data and an interesting AI approach... A whopping 15 convolutional neural networks are separately trained and used in combination with a BiLSTM model to achieve these results. Find out more in our latest article: 🔗https://eu1.hubs.ly/H090sk50

08/05/2024

🤖🧠 Are AI more moral than humans? A new study reveals surprising insights into our ethical perceptions. Read more about it here! 🔗

A study has found that when people are presented with two answers to a moral question, most think the answer from AI is better than from another person.

07/05/2024

From black box to transparent insights—AI's role in imaging diagnosis is evolving! 🎉 Explore how explainable AI is shedding light on the decision-making process behind predictions. 🔗

Explainable AI meets dementia imaging data to unveil the secrets behind deep learning classification of the disease.

30/04/2024

🚀✨ From data to decision-making, see how Belong Life empowers cancer patients to manage their treatment effectively. Full insights in our latest chat with the founders! https://eu1.hubs.ly/H08ThFQ0

From clinical trial matching to patient education and support using AI, co-founders of Belong.life discuss their vision to transform cancer.

30/04/2024

Did You Know? 🧠 One in 37 people in the UK will be diagnosed with Parkinson’s in their lifetime. Cambridge's latest AI-driven research is set to make a significant impact. Read more about this groundbreaking approach: https://eu1.hubs.ly/H08TbZt0

Using a combination of machine learning techniques, researchers have achieved a leap in drug screening for Parkinson's.

29/04/2024

🔬New research utilizes EEG data to predict 'brain age,' aiming to identify early signs of dementia and Parkinson's.🧠 This method presents a less invasive, cost-effective alternative to MRI scans, facilitating frequent neurological screenings. 🚨 Find out more in our latest article: https://eu1.hubs.ly/H08SgN50

Learn how researchers have used EEG and AI to estimate brain age by applying principles used for more costly MRI imaging analysis.

26/04/2024

Revolutionizing Stroke Treatment with AI 🧠 University Hospital Bonn's latest study shows ChatGPT can accurately transfer critical patient data during thrombectomies. Learn more about this great application of AI to workflow optimization in the article below!

Find out how researchers have harnessed chatGPT-4 to improve the workflow of doctors in fast-paced environments following stroke incidents.

24/04/2024

‼️🚨NEW INTERVIEW🚨‼️

🌟 Discover how 's co-founders, Irad Deutsch and Eliran Malki, are transforming cancer care with AI-powered assistants for clinical trial matching and patient support. Dive into their journey from personal loss to groundbreaking innovation in our exclusive interview.

From clinical trial matching to patient education and support using AI, co-founders of Belong.life discuss their vision to transform cancer.