Yoyo’s Post

🚀 Exciting News! 🚀I am thrilled to share the publication of our latest work, "Modeling a Logistic Regression-based Sustained Approach for Cancer Detection," in IEEE. 🎉 https://lnkd.in/dCFiXDvQ This research highlights how logistic regression can be a powerful tool in the early detection and treatment of cancer. By simulating the likelihood of binary outcomes based on various input variables, we can accurately forecast whether a tumor is malignant or benign. Key factors like volume, topology, texture, age-group, family history, lifestyle choices, and genetic markers are all taken into consideration.Our approach aids in risk assessment and the prediction of cancer development, enabling the creation of effective screening tools. Logistic regression plays a crucial role in identifying high-risk individuals through patient characteristics, biomarkers, and medical imaging data. Additionally, it provides valuable insights for survival analysis by predicting the probability of survival based on age, tumor characteristics, treatment options, and comorbidities.In a comparative study, our logistic regression model achieved an impressive accuracy rate of 97.4%, standing strong alongside random forest models in cancer detection and diagnosis.Thank you to everyone who contributed to this significant advancement in cancer research! 🙏#CancerResearch #LogisticRegression #EarlyDetection #MachineLearning #HealthcareInnovation #IEEE

🔍 Join Quibim for an informative webinar exploring the evolution of prostate cancer screening and the role of artificial intelligence (#AI) alongside clinical and imaging tests. The distinguished speakers will delve into the latest research, shedding light on advancements beyond PSA testing, including MRI-based assessments. Gain invaluable insights into predictive algorithms, patient advocacy, health economics, and ongoing clinical studies, paving the way for scalable and effective detection strategies. 🚀 REGISTER HERE: https://buff.ly/3T80cOt Expert speakers: Dr. Shonit Punwani Anna Nogué Infante David Bazaga #Healthcare #ProstateCancer #DiagnosticImaging #MedicalImaging #ClinicalImaging

As we continue our blog theme around curiosity, we sat down with Dr Sarah Rosen and Eleanor Ingram to explore what's intrigued them recently. From the women’s health research gap, to AI’s ability to detect cancer, to smartphone free childhoods, this chat certainly went on a journey...! Read it here > https://lnkd.in/e3MbZUuR #Curiosity #ElevatingInsights #MarketResearch #HealthResearch

Is there an economic benefit to using state-of-the-art clinical AI models? 💹 In a new paper published in JAMA Network Open, researchers from The University of Sheffield, University of Nottingham, and Queen Mary University of London estimate that breast cancer risk prediction model MIRAI (developed by MIT and MGB researchers) could save the NHS £60.4 million (US $77.3 million) to £85.3 million (US $109.2 million). In other words, the results suggest that AI-based risk-stratified screening that identifies low, medium, and high risk patients is more cost-effective than the one-size-fits-all approach currently being used (which is based on age). Authors: Harry Hill; Cristina Roadevin; stephen duffy; Lena (Olena) Mandrik; Adam Brentnall Open-Access Paper: https://lnkd.in/efi_k5Vb #aiforgood #aiforhealth #healthcareinnovation #machinelearningsolutions

Tip: Consistent monitoring of your health markers, such as cell-free DNA fragments, can aid in early cancer detection and personalized treatment. Explore advanced technologies like RENB's Flamingo model, powered by AI, for accurate and timely cancer diagnostics. Stay proactive in leveraging cutting-edge solutions for better health outcomes. Hashtags: #HealthTech #CancerDetection #PersonalizedMedicine #AIInHealthcare #Biohacking BioMedHack.com is your leading source for the latest news, breakthroughs, and insights in medicine, biohacking, and alternative medicine. Our mission is to help you live healthier and longer by bringing you cutting-edge information and expert advice. Follow us on Facebook, Instagram, and X. Read more about this post here: https://lnkd.in/ezhtuZJ8

Tech innovation is making a real impact to turn the tide against cancer. 🎗️ More here 👉 https://lnkd.in/gE7QuHNm  Amid the negativity surrounding tech, companies are raising survival rates in pediatric cancer. 📊 Tech Tackles Cancer is uniting life sciences and technology to fund critical research and awareness. During a recent CUBE Conversation, theCUBE’s Dave Vellante talks with Christopher Lynch, TTC founder and executive chairman and chief executive officer of AtScale Inc. "From my perspective, it's about community," Lynch said. "It's about solving an important problem, but it's about understanding how you can do that in the same motion of your daily business activities and make all those things better." Applied AI is also transforming healthcare, addressing real-world challenges while enhancing business efficiency. Find out more about how tech is focusing on responsible innovation and collaboration! #CUBEConversations #theCUBE #TechForGood #PediatricCancer #AI #Innovation #Healthcare

🌊 Our technology's capability to accelerate clinical trials is making waves -- Realyze Intelligence has been featured in a recent write up by the Pittsburgh Business Times! Our CEO Aaron Brauser highlighted the transformative power of our platform: 🔬 💡 "We kind of look at it as like a microscope... until someone invented the microscope, there weren't a lot of cell level discoveries that happened. Once we get this data and the technology there, we're going to be able to find new ways to use the data and have abilities to solve problems we couldn't have even imagined." 📈 How many cancer patients lives will be impacted by AI-driven healthcare solutions? Only time will tell... #ClinicalTrialInnovation #RealyzeIntelligence #AIinPrecisionOncology #CancerResearch #CancerInnovation #NoMoreZombieTrials Find the link to the article in the comments

📢 Exciting advancements in Alzheimer's research! 🧠 Research highlights the potential of AI-driven speech recognition methods to which patients with mild cognitive impairment would go on to develop Alzheimer's dementia within six years. By analyzing speech patterns, these advanced AI techniques could offer earlier and more accurate detection of dementia, paving the way for improved patient care and management. Read more here: