Shweta Maniar’s Post

AI-Powered Age-Related Disease Target Discovery: A Transformative Breakthrough #agerelateddisease #AI #artificialintelligence #BioGPTmodel #biomedicalprediction #CCR5 #Healthcare #llm #machinelearning #NaturalLanguageProcessing #PTH #Researchpaper #targetdiscovery #therapeutictargets #Transformermodels

In my latest article, I explore how AI is transforming the precision and predictive capabilities of cell analysis, revolutionizing healthcare - from identifying benign vs malignant cells to forecasting disease progression over time: https://lnkd.in/gu2kx2CW Key highlights: - Automated classification of cells based on morphological features - Time series modeling to predict transitions from benign to malignant - Disease progression insights enabling early screening and intervention - Overcoming challenges like data quality and model interpretability #ArtificialIntelligence #CellAnalysis #PrecisionMedicine #DataScience

AI & Healthcare - Diagnosing rare diseases and avoiding bias This article again hints at a future where we get 10x to 100x better at diagnosing complex diseases and rare conditions. As someone who recently has had some health issues, I find the ability to understand what is wrong and how I can fix it crucial to my own health. It's exciting to think how strong a positive impact this will have on society and quality of life. This type of use case might be what excites me the most about the 'New AI' and the rapid development of how we can apply it. The article also has a relevant section about being careful with the training data and how that can cause biases. I think Idiro Analytics, who I've worked with before, are leaders in the Irish market at looking at auditing for AI bias, and this use case seems particularly important due to the real world impacts bias might have. https://lnkd.in/eHtREb3b #AIHealthcare #AIbias #AskEly #NewAI #AItrainingdata

AI DETECTS DISEASES EARLY: Plus Europe Struggles For AI Relevance: AI breakthroughs: A blood test predicts Parkinson's 7 years early, and an AI scan foresees heart attacks a decade in advance, enabling early diagnosis and treatment.

Come check out the latest in GenAI for healthcare at #AWSSummit in Washington DC next week.

OPINION - Finbarr Murphy: I’m glad that we’re beginning to see some push back on the idea that AI is a silver bullet to solve every problem. The reality is, it’s just another tool in the toolbox. It’s true that in some situations it can make a significant impact but sometimes there are other tools more suited to the job. A paintbrush is perfect for creating a stunning piece of art but when it comes to painting a wall, a roller will do the job in twice the speed with a better finish. Also, as the article in the The Guardian argues, the promise of AI can be a welcome distraction from solving the more pressing issues of today. Is AI really a bionic duckweed? I’m not opening that particular can of worms today; however, to use the healthcare example in the article, without the right groundwork and addressing the systemic issues plaguing the NHS, the impact it can have will be minimal and contained. If we want to realise the true potential of AI, we must understand if we’re ‘data mature’ enough to benefit from it and assess it against the other tools available. Instead of AI for AI’s sake – we should be balancing innovation with what will make the biggest impact right now. Sorry for the shameless plug, but this is exactly what we’re doing at Modular Data Helping you understand your level of data maturity, giving you a roadmap to get to where you want to be, and selecting the right tools to help you get there – whether that’s AI or not. https://bit.ly/4cBZt0k #datainhealthcare #AIinhealthcare #dataproducts #datamaturity #maturityassessment

Exciting research in earlier detection of disease, which can be a game-changer for patient outcomes. An important reminder that ensuring AI is trained on multiple data sets provides a more reliable model. Key in this study is that researchers used data sets from several institutions to determine whether AI is a reliable partner in early disease detection.

AI will strengthen precision medicine using the personalized lifetime clinical health record.