Nancy Lum-Wilson (C.Dir, CRM, MBA, B.Sc.Phm)’s Post

🧬 ＡＩ Ｂｌｏｏｄ Ｔｅｓｔ ｆｏｒ Ｅａｒｌｙ Ｐａｒｋｉｎｓｏｎ＇ｓ Ｄｅｔｅｃｔｉｏｎ： 𝓐 𝓖𝓪𝓶𝓮𝓬𝓱𝓪𝓷𝓰𝓮𝓻 𝓲𝓷 𝓗𝓮𝓪𝓵𝓽𝓱𝓬𝓪𝓻𝓮! 🧬 🔬 New AI Blood Test Detects Parkinson's 【７】 Years Before Symptoms! Researchers from University College London and University Medical Center Goettingen have developed a revolutionary blood test using #AI to detect Parkinson's disease up to seven years before symptoms appear. Published in Nature Communications, this groundbreaking study analyzed blood samples from 72 patients with REM sleep behavior disorder, identifying 79% of them with the same biomarkers as Parkinson’s patients. Expert Insights: "This development exemplifies the potential of AI to diagnose and predict serious health conditions, allowing for earlier and potentially more effective interventions," said Harvey Castro, MD, MBA., a board-certified emergency medicine physician and AI in healthcare expert. "ɪᴛ ʀᴇᴘʀᴇꜱᴇɴᴛꜱ ᴀ ᴘᴀʀᴀᴅɪɢᴍ ꜱʜɪꜰᴛ ɪɴ ᴛʜᴇ ᴛʀᴇᴀᴛᴍᴇɴᴛ ᴏꜰ ɴᴇᴜʀᴏᴅᴇɢᴇɴᴇʀᴀᴛɪᴠᴇ ᴅɪꜱᴇᴀꜱᴇꜱ."" Impact on Treatment: By identifying eight proteins in the blood, this test can detect #Parkinson’s years in advance, offering a less invasive alternative to traditional methods like lumbar punctures. Early detection means drug therapies could be administered sooner, potentially slowing disease progression or preventing it altogether. Future Prospects: Researchers plan to continue following participants to confirm the test's accuracy and explore its application for other high-risk populations. This AI-powered test could also help differentiate between Parkinson’s and similar conditions like multiple system atrophy or Lewy body dementia. 👨⚕️ Harvey Castro, MD, MBA. on Early Intervention: "Having a tool that provides more time before significant nerve cell damage occurs offers a substantial opportunity to address diseases at very early stages," noted Dr. Castro. Although knowing about the disease in advance can help patients prepare mentally and emotionally, Castro warned that it could be a ᴅᴏᴜʙʟᴇ-ᴇᴅɢᴇᴅ ꜱᴡᴏʀᴅ." "While some patients may benefit from early knowledge and the ability to plan their lives accordingly, others might prefer not to know about a potential future illness due to the psychological burden it could impose," he said. 🔗 Read more about this groundbreaking study and its implications for the future of healthcare. #ParkinsonsDisease #HealthcareAI #EarlyDetection #MedicalInnovation #NeurodegenerativeDiseases #AIinHealthcare #HealthTech #FutureOfMedicine #DRGPT

🧬 ＡＩ Ｄｒｉｖｅｎ Ｂｌｏｏｄ Ｔｅｓｔ ｆｏｒ Ｐｒｅｅｍｐｔｉｖｅ Ｐａｒｋｉｎｓｏｎ＇ｓ Ｄｅｔｅｃｔｉｏｎ： 𝓡𝓮𝓼𝓱𝓪𝓹𝓲𝓷𝓰 𝓗𝓮𝓪𝓵𝓽𝓱𝓬𝓪𝓻𝓮 🧬 🔬 Major Breakthrough: AI Blood Test Detects Parkinson's 7 Years Before Symptoms! Reflecting on Harvey Castro, MD, MBA. recent post about the groundbreaking AI blood test for early Parkinson’s detection, it's clear that AI's potential in healthcare is transformative. This test, developed by University College London and University Medical Center Goettingen, showcases how AI can revolutionize early diagnosis and intervention. Key Insights: "AI’s potential to revolutionize early diagnosis is immense, providing opportunities for timely and more effective interventions," notes Dr. Harvey Castro, a leading expert in AI healthcare applications. "This represents a transformative shift in managing neurodegenerative diseases." Implications for Treatment: By identifying eight specific proteins in the blood, this innovative test can diagnose Parkinson’s much earlier than traditional methods, allowing for early therapeutic strategies that could slow or prevent disease progression. Context and Future Prospects: In my work in AI and healthcare innovation, I see this as a crucial step towards integrating advanced AI diagnostics with personalized medicine. As researchers continue to validate these findings and explore applications for other at-risk groups, the potential to distinguish Parkinson’s from similar neurological disorders could reshape our approach to treatment and patient care. 👨⚕️ Dr. Harvey Castro on Early Intervention: "Early detection allows for intervention at a stage when it can be most beneficial, potentially mitigating the extent of neural damage," explains Dr. Castro. He also highlights the emotional and psychological considerations, emphasizing the need for a balanced approach to early diagnosis. 🔗 Dive deeper into this groundbreaking study and its future impact on healthcare. #ParkinsonsDisease #AIinHealthcare #EarlyDetection #HealthInnovation #NeurodegenerativeDiseases #FutureOfMedicine #DrGPT

K Health has taken a significant step towards personalized medicine by showcasing the potential of #AI. 🚀 This demonstrates the power of AI in #healthcare . 💪 K Health jointly published a study with Mayo Clinic on Hypertension aka “High Blood Pressure”, demonstrating the power and accuracy of K Health’s predictive data model: https://lnkd.in/efdRX_yM   It is unique in medicine.   Why it matters? Hypertension affects one billion people worldwide, or one in four adults. It is among the leading factors of death globally...and while diagnosis is simple, treatment is trial by error, which takes time. With Hypertension, time is the enemy.  https://lnkd.in/eGsKe-vh   K Health’s model based on Mayo data, massively reduces the time for doctors and allows them to take into account a myriad of inputs (gender, age, medical history, ethnicity, comorbidities, current HTN read, and various labs), and be able to predict the best medication to stabilize the blood pressure of these patients. It is a significant step towards rapid personalized medicine. This will contribute to significantly reduce heart attacks and strokes.   K Health’s predictive engine is more comprehensive than the 'best doctor in the world' - no doctor can hold all the variables surrounding hypertension in their head. It is a perfect demonstration of the power of AI and how it helps drive better medical outcomes. This capability will now, of course, be available to the other medical systems using K Health. Mangrove Capital Partners #AIinHealthcare #PersonalizedMedicine #Hypertension #HealthTech #MedicalInnovation #BetterMedicalOutcomes  

In a wide-ranging Forbes piece, Naveen Rao dissects some of the key challenges and opportunities for #dementia screening - highlighting AD-RIDDLE's coordinated approach as a notable 🇪🇺 innovation for the field: "For a longer-term approach (to early detection) I’d eschew the US federal government’s byzantine National Plan...and turn instead to Europe. AD-RIDDLE is a 24-member collaborative testing out the real world economics of an Alzheimer’s Disease toolbox, using a shortlist of government-cleared (CE mark) tools in sync with lab tests, clinical workflows, longitudinal tracking, and real-time evidence generation." Check out the full article ➡ https://lnkd.in/e9HGiR4p Innovative Health Initiative (IHI) EFPIA - European Federation of Pharmaceutical Industries and Associations MedTech Europe COCIR Vaccines Europe EuropaBio - the European Association for Bioindustries

A blood test that draws on artificial intelligence can predict who will develop Parkinson’s disease up to seven years before symptoms arise, researchers say. The test is designed to work on equipment already found in many NHS laboratories and, if validated in a broad population of people, could be made available to the health service within two years. There are no drugs to protect the brain from Parkinson’s at present, but an accurate predictive test would enable clinics to identify people who stand to benefit most from clinical trials of treatments that aim to slow or halt the disease. “At the moment, we’re shutting the stable door after the horse has bolted,” said Prof Kevin Mills, a senior author on the study at UCL Great Ormond Street Institute of Child Health. “We need to get to people before they develop symptoms. It’s always better to do prevention rather than cure.” Parkinson’s disease is the world’s fastest growing neurodegenerative condition, a trend driven primarily by the ageing population. The disorder affects more than 150,000 people in the UK and 10 million worldwide. It is caused by the buildup of a protein called alpha-synuclein that damages or destroys nerve cells which produce an important substance called dopamine in part of the brain called the substantia nigra. #healthtech #digitalhealth #healthcare #healthcareinnovation #startups #innovation #health #medtech #healthcareresearch #femtech #womenshealth #funding #investment #venturecapital #pharma #publichealth #patients #patientcare #AI #bigdata #insurance #employeebenefits #dataprivacy #datasecurity #biotech #robotics #lifesciences #telehealth #telemedicine #mentalhealth #ai #artificialintelligence #wearables #wearabletech #fda #venturecapital

AI predicts Alzheimer's progression with 78.5% accuracy using speech analysis. This is a good moment to stop and reflect. Here are some observations: 1. Traditional early detection methods are often invasive, costly and inaccessible. 2. Dementia affects over 55 million globally. 3. Alzheimer's cases are expected to triple by 2050. 4. Annual dementia care costs nearing $1 trillion. 5. Late diagnosis often leads to poorer outcomes. But now, a recent study showed that AI can: 1. Analyze speech patterns for early detection. 2. Predict progression with high accuracy rate. 3. Provide non-invasive, accessible screening option. 4. Potentially reduce healthcare costs significantly. 5. Detect changes before symptoms become apparent. Imagine a world where we can detect Alzheimer's before symptoms appear, giving us a fighting chance against the disease! Bringing hope for both patients and caretakers. What disease would you like to see be detected by AI?

Heart attacks are becoming common! Celebrities, health coaches, actors, students, fit professionals - news with heart attack as the cause of death of youngsters has been concerning but medical science is developing to save more lives. In general, heart disease is the leading cause of death worldwide, accounting for over 17 million deaths each year. But the next-gen solution is - artificial intelligence (AI). Heart disease is the leading cause of death in India, accounting for 28% of all deaths. - Every 34 seconds, someone dies of heart disease in India. - Over 1.7 million people die of heart disease in India each year. - Over 50% of heart attacks in India occur in people under the age of 50. -The prevalence of heart disease in India is increasing, and is expected to continue to increase in the coming years. AI is rapidly transforming the field of cardiology, helping doctors to diagnose and treat heart disease more accurately and effectively than ever before. Here are a few examples of how AI is currently being used to improve heart health: AI-powered algorithms can detect signs of heart disease earlier, including arrhythmias that can lead to stroke. AI-powered imaging can provide more detailed images of the heart and its blood vessels, helping doctors diagnose and treat heart disease more accurately and effectively. AI-powered risk assessment tools can identify people who are at high risk of developing heart disease, so doctors can develop personalized interventions to prevent it. AI is being used to develop new drugs and treatments that can target specific molecules involved in the development of heart disease, or repair damaged heart tissue. AI-powered algorithms can now detect signs of heart disease earlier, which can help save lives. Where the world is suffering, AI seems to give hope! Question - Do you think AI can change the way medical science works? #ai #technology

Last week, VoxNeuro was highlighted as a notable #innovation for consideration, in a wide-ranging Forbes piece by Naveen Rao - who dissects some of the key challenges and opportunities for #Dementia screening. “Companies like…VoxNeuro are bringing #EEG-based assessments of #cognitive function into the clinical setting. If #biomarker-based approaches cross over from research interest to practice-based tool, opportunities to integrate clinical trial recruitment into clinical practice more tightly could be a win-win for public health and life sciences.” -- Our product is ready for deployment and in use today - Contact us to learn more about the advantage of adding objective, #neurophysiological #data to your clinical trials!! #brainhealth #ERP #objective #clinicaltrials #CRO #alzheimer's

Detecting Diabetes by Analyzing Someone's Voice AI is enabling the use of Vocal Biomarkers - essentially using someone's voice as a vital sign 🔵 About Vocal Biomarkers: 🔸 Vocal biomarkers can help democratize healthcare diagnostics to anyone with access to a microphone and connectivity 🔸 Companies like Sonde Health, Inc., Ellipsis Health, and Hyfe are 3 startups I keep on eye on 🔸 Sonde Health has identified over 4,000 unique features to the human voice, so you can imagine why AI is needed to understand and analyze all the potential combinations 🔸 Hyfe counts and categorizes #coughs, which is helpful for many things, including mapping disease trajectory, #medication efficacy, and identifying behavioral and environmental triggers. To keep up with Hyfe, follow Dr. Peter Small and Julian Circo 🔸 Ellipsis Health has a clinically validated vital sign for #MentalHealth - check out Mainul Mondal & Susan Solinsky 🔵 About the Attached Study 🔸The study attached was recently published by Klick explores using a patient's voice to identify Type 2 Diabetes 🔸 Yan Fossat is a co-author on the study: “Voice technology could revolutionize healthcare practices as an accessible and affordable digital screening tool” 🔸 In combination with other personalized data like height, sex, age, patients recorded a short phrase on their phones 6X/day for 2 weeks 🔸 The AI model was 86-89% accurate for detecting type 2 #diabetes 🔸 “Voice synthesis is a complex process that relies on the combined effects of the respiratory system, the nervous system, and the larynx. Anything that affects these systems can influence the #voice,” The study is open access from: Mayo Clinic Proceedings #ai #artificialintelligence #diagnotics #healthtech #healthcare #aivoice https://lnkd.in/gtDHN2NZ

Interesting #AI post for disease detection. Yet we still have a lot of ways to go. Check out this image below how many problems can you detect? The point is with so many variables in disease detection AI shows a lot of promise. #healthcare #patientcare #cdw