Yasir Bucha’s Post

A recent study from MIT and The Hebrew University-Hadassah Medical School introduces an AI-driven model capable of foreseeing potential COVID-19 variant surges. Analyzing 9 million SARS-CoV-2 genetic sequences across 30 countries, the team’s machine-learning algorithm forecasts around 73% of variants causing significant outbreaks within three months. ---------- For the latest in #healthcare, #medtech, #medicaldevices, #diagnostics and #medical world, follow MedTechAsia.in. ---------- #healthcare #health #healthcareai #artificialintelligence #medicaldevices #diagnostics

AI to track and warn against pandemics Scientists have developed an AI-based machine-learning system to track the evolution of epidemic viruses and predict the emergence of viral variants. In a study using data on SARS-CoV-2 variants and COVID-19 mortality rates, the system successfully predicted the emergence of new variants of concern ahead of their official designation by the World Health Organization. This breakthrough could enable real-time tracking of future viral pandemics, providing valuable insights for public and private health organizations. The research team hopes to uncover pandemic virus evolution rules through this innovative approach, helping society better prepare for and combat potential future pandemics. #ai #machinelearning #VirusEvolution #PredictiveAnalytics #EpidemicTracking #COVID19Variants #publichealth #pandemicpreparedness #realtimetracking #healthcareinnovation

The comprehensive understanding of mucus dynamics can significantly contribute to the development of more effective treatments and targeted interventions for muco-obstructive lung diseases like #COPD, #CF, #asthma and bronchiectasis. With the precision and robustness that AI-assisted imaging technology brings to the table, we can recognize and precisely quantify details that could not be detected before. Reliable quantification techniques to measure airway wall dimensions and to detect mucus plugs are essential for diagnosing airways disease as well as for monitoring of the treatment effects. Read more about insights into mucus impaction with AI: https://lnkd.in/eB2-xHdS

ID#20200912 -The Intelligent Face Mask Project is a hypothetical project that uses advanced technologies to address the challenges posed by the Covid-19 pandemic and its various variants. including: Genetics Model: use genetic sequencing and analysis techniques to better understand the biology of Covid-19 and its various variants. Population Dataset: collect and analyze data on the spread of Covid-19, including demographic information, infection rates, and hospitalization rates. Behavior Characterization: use machine learning and other advanced analytics techniques to understand and predict human behavior, including factors such as adherence to public health guidelines and vaccination rates. International Health Care System: involve the development and implementation of a coordinated international response to the Covid-19 pandemic, including the sharing of best practices, data, and resources between countries. #covid19pandemic #intelligentfacemask #GeneticModel #WhiteboardIdeas

💡Improve disease diagnosis and prediction with help of our software based on artificial intelligence! 🔬Adria Insight uses advanced machine learning algorithms to help diagnose and predict various diseases, including Alzheimer's disease, diabetes, chronic heart disease, tuberculosis, cerebral stroke, hypertension, skin diseases, liver diseases, autism, mental diseases and rare genetic diseases. 🧠 Fusing the latest technologies with deep medical knowledge, the software provides precise predictions and diagnoses, ensuring speed and efficiency in treatment of patients. Take a step forward in medical practice with innovative solutions of the Adria Insight platform! 📲Learn more at: adriainsight.com #ArtificialIntelligence #Health #Innovation #Diagnosis

Our latest study published in Nature Medicine describes an artificial intelligence algorithm which is able to predict future SARS-CoV-2 variants which may cause more severe disease, and/ or resistance to vaccination. Our AI, combined with regular surveillance can preemptively inform epidemic policies and vaccine design. #COVID19 #科大醫學院 #artificialintelligence #DeepLearning https://lnkd.in/gRBXGKEK

Sex differences in cardiovascular disease diagnosis and risk assessment? 💚💜 YES! Let's look at the numbers. ⬇ Skyler St. Pierre, Bartek, Ellen Kuhl, and I took a deep dive into the UK biobank data and found that: 📢 women are under-diagnosed for cardiovascular diseases using sex-neutral criteria 📢 not all Framingham risk factors were found to be important; including ECG data can strongly improve risk assessment 📢 men and women only shared 5 out of the top 10 most important risk factors Want to know more? Check out the preprint here: https://lnkd.in/eEdbtb-Y and don't forget to read up on our prior work on - sex differences in cardiac electrophysiology and drug-induced arrhythmia (https://lnkd.in/excihifk) - sex differences in cardiac mechanics in health and disease (https://lnkd.in/ds9pyiHX) Lastly, as nicely put by Skyler, although sex is treated as a binary variable in the UK Biobank, there is much overlap between "male" and "female" distributions. Therefore, in the long haul, evolving from sex-agnostic to sex-specific to patient-specific medicine would be the best outcome for everyone. #sexdifferences #cardiovascular #diagnosis #riskassessment #machinelearning #deeplearning #ukbiobank #clinical #hypertension #ischemia #arrhythmia

This is how generative AI can help cure rare diseases.

A new blog article from the Genomize team: “Are Rare Diseases Really Rare?” 🔬 In a world where 'rare' doesn't always mean 'infrequent', our latest article sheds light on the intriguing paradox of rare diseases. While each rare disease might affect a relatively small number of individuals, collectively, they represent a significant health challenge globally. 🌍 💡 Dive into our article to uncover the complexities of rare diseases, the pivotal role of genetic diagnostic tests, and how Genomize integrates Artificial Intelligence (AI) in data analysis to offer quicker and more accurate diagnoses for individuals with rare diseases. 👉 Stay informed, be inspired. To read the full article: https://lnkd.in/d5ke5pXs #rarediseases #genetictesting #dataanalysis #ai #bioinformatics #genomicresearch

𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐧𝐞𝐰𝐬❗Scientists have used AI to discover a new antibiotic, named "abaucin," that effectively combats Acinetobacter baumannii, a dangerous superbug. A baumannii is a critical threat in healthcare facilities, causing infections in various areas and developing resistance to treatment. The bacteria can live for prolonged periods of time on environmental services and shared equipment, and can often be spread through contaminated hands. In addition to blood infections, A baumannii can cause infections in urinary tracts and lungs. According to the Centers for Disease Control and Prevention, the bacteria can also “colonize” or live in a patient without causing infections or symptoms.💉🔬 By employing an AI algorithm, researchers have rapidly screened thousands of antibacterial molecules, leading to the identification of abaucin. Testing on a wound infection model in mice demonstrated its ability to suppress the infection. 🐭💊 This groundbreaking study highlights the potential of AI in antibiotic discovery. #AI #MedicalResearch #Science