Developing AI for Early Cancer Diagnosis with TÜBİTAK Support

Excited to be in Amsterdam for the ISCTM Autumn Conference! I’ll be presenting our latest work: 🧠 “Exploring a Burst Design to Improve Psychometric Properties of a Remote Digital Cognitive Assessment for Clinical Trials in Alzheimer’s Disease.” (Friday 6pm-7:30pm) Our findings highlight how a burst assessment design—leveraging repeated administrations of the SB-C (Speech-Based Cognitive) assessment—can significantly reduce measurement error and increase reliability in remote cognitive testing. This research supports our ongoing mission to make clinical trials smarter, not harder: ✅ Faster recruitment and fewer screen failures ✅ Better patient stratification—at scale ✅ Clinically validated, AI-driven speech assessments accessible anytime, anywhere If you’re attending #ISCTM2025 in Amsterdam, I’d love to connect and discuss how remote, speech-based tools like the SB-C are helping transform cognitive assessment in clinical research. #ISCTM #Alzheimers #Neurodegeneration #DigitalBiomarkers #AI #SpeechTechnology

Dr. Yajnaseni Dash, a faculty member at the School of Artificial Intelligence, Bennett University, collaborated with AIIMS, New Delhi, on a research publication involving a clinical trial that evaluated metformin as an add-on therapy in epilepsy. Key Findings: While seizure reduction was not significant, metformin showed improved quality of life, better metabolic outcomes, and fewer adverse events, highlighting its promise for patient well-being. This study reflects our commitment to interdisciplinary research at the intersection of data science, healthcare, and clinical science. Dr. Rajeev Tiwari #Epilepsy #ClinicalResearch #HealthcareInnovation #AIIMS #BennettUniversity #SchoolofAI

Excited to share our new poster (presented at the Association of Diabetes Care & Education Specialists annual conference this year), “Reviewing Generative AI Use in Diabetes and Cardiorenal Metabolic Disease Management,” from Touro University California. Why this matters:  Generative AI is already moving the needle in diabetes and CRMD by: - Earlier detection: AI-assisted signals (e.g., AKI risk, LVH patterns) and risk stratification help identify problems sooner. - Streamlined care: Automated summaries, referral support, med adjustments, and trend-based insights reduce clinical burden. - Better self-management & education: Culturally adapted coaching, tailored exercise plans, and voice-enabled education improve engagement. But we must get it right: Data privacy & trust, model bias/hallucinations, transparency/validation, and equitable infrastructure are essential guardrails. What’s next: 1) Broader clinical validation, 2) rigorous bias/validation frameworks, 3) human-AI collaboration (AI as adjunct, not replacement), and 4) ethical safeguards so that tools work for all communities. Grateful to co-authors Stephen Janda (DO ’26) and Avleen Gill, AS. Excited to collaborate with clinicians, educators, and innovators building responsible AI for chronic disease care. If you’re working at the intersection of diabetes × AI, let’s connect. #Diabetes #GenerativeAI #DigitalHealth #Cardiorenal #AIinHealthcare #ValueBasedCare #ClinicalInformatics #HealthEquity #ADCES #TouroUniversityCalifornia #Diabetology

🔔 NEW workshop for patients, caregivers, and family members with lived experience of cardiovascular disease! #AI is increasingly shaping healthcare—from how diseases are diagnosed to how care is delivered. As a patient partner in research, knowing when and how AI should be used is key to ensuring these tools serve real patient needs. On Nov. 18, join us with the Temerty Centre for AI Research and Education in Medicine (T-CAIREM), University of Toronto for a virtual workshop focused on building confidence and critical thinking for engaging with AI-related research. By the end of the session, participants will be able to: ✅ Understand key concepts & common applicants of AI in healthcare ✅ Identify potential risks & limitations of AI tools ✅ Recognize how patient & caregiver perspectives ensure research reflects community needs & values Please note: Attendance is capped at 15 participants. Preference will be given to applicants who (1) have a basic understanding of health research in Canada and (2) are currently participating in or plan to join a research team. 🔗 Learn more and apply by Nov. 2: https://lnkd.in/g_FFhQK2 #PatientEngagement #Workshop #Healthcare

The future of healthcare diagnostics is here, and it’s multimodal. By integrating diverse data streams—like MRI, CT scans, genomics, and electronic health records—AI is creating a holistic view of patient health that was previously impossible. This isn't just about better images; it's about predictive power. AI algorithms can now analyze these complex datasets to identify subtle patterns, predict disease progression, and recommend personalized treatment pathways before symptoms fully manifest. This shift from reactive to proactive care is a game-changer for conditions like cancer, neurological disorders, and heart disease. We are moving toward a future where diagnostics are not just accurate, but anticipatory. The potential to improve patient outcomes and save lives is truly profound. #AIinHealthcare #HealthTech #MedicalAI #Diagnostics #PredictiveAnalytics #MultimodalImaging #PrecisionMedicine #DigitalHealth #Innovation #FutureOfMedicine

I often speak about the importance of a data-driven approach, but what if we could harness the power of data in the healthcare industry for the early detection of age-related diseases such as stroke and heart failure? The AI4HealthyAging project, launched in 2021 through Spain’s R&D Mission program and coordinated by Capgemini, brings together 15 organizations to develop advanced AI solutions for early diagnosis of neurological, motor, and degenerative conditions linked to aging. These systems support decision-making for elderly patients with conditions such as heart failure, stroke, sarcopenia, Parkinson’s disease, cognitive impairment associated with hearing loss, and other neurodegenerative diseases. This technology is not only democratizing healthcare and reducing inequality but creating scalable, secure and accurate solutions for patients with age-related health conditions. Watch the video to find out more.

🌎 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 & 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐀𝐈 𝐢𝐧 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 We are proud to see our Co-Director, Assoc Prof Nan Liu, invited by the AI Precision Health Institute, University of Hawai'i Cancer Center to deliver a talk on “𝑬𝒕𝒉𝒊𝒄𝒂𝒍 𝒂𝒏𝒅 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒊𝒃𝒍𝒆 𝑨𝑰 𝒊𝒏 𝑯𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆: 𝑩𝒂𝒍𝒂𝒏𝒄𝒊𝒏𝒈 𝑰𝒏𝒏𝒐𝒗𝒂𝒕𝒊𝒐𝒏 𝒂𝒏𝒅 𝑷𝒂𝒕𝒊𝒆𝒏𝒕 𝑺𝒂𝒇𝒆𝒕𝒚.” As AI continues to rapidly transform medicine, his talk emphasises the importance of ensuring that innovation goes hand in hand with ethics, responsibility, and patient safety — principles that are core to AIMI’s mission. ✨ Guided by our vision of a world-class AI and digitally-enabled Academic Medical Centre, AIMI is committed to advancing patient-centric innovation, accelerating translation, and building trust in AI-driven healthcare. For more details, visit: https://lnkd.in/gCW6Vxhe #AIinHealthcare #MedicalAI #HealthEthics #PatientSafety #DigitalMedicine #AIMI #SingHealthDukeNUS

🚀 We are proud to share the latest scientific milestone of our sister project #CANCERLESS, with the collaboration of several partners who are also part of the CO-CAPTAIN consortium. The newly published article, “An AI-based microsimulation for predicting health outcomes among people experiencing homelessness,” appears in @Computer Methods and Programs in Biomedicine and explores how machine learning and microsimulation can help shape more person-centred care for one of society’s most vulnerable populations. 📄 Read the full paper here: https://lnkd.in/dtTC-gU8 This work reflects our shared mission: making prevention and care smarter, fairer, and truly inclusive.

🎤 Closing Keynote at NCHIMSS: Fireside Chat on AI, Healthcare, and Human-Centered Innovation 🔍 Just wrapped up an incredible closing session at NCHIMSS, where thought leaders from UNC shared powerful insights on the intersection of AI, clinical care, and health economics. 👩🏫 Tara Templin , PhD, Assistant Professor at UNC Gillings School of Global Public Health and Faculty Fellow at the Carolina Population Center, joined her colleague Dr. Sean Sylvia explore how AI can be thoughtfully integrated into healthcare workflows—especially in underserved communities. 💡 Key takeaways: • AI adoption thrives when framed as augmentation, not replacement—think “surgeons as professional athletes” supported by intelligent feedback loops. • Success depends on understanding the sociotechnical systems that surround AI tools, including behavioral dynamics and clinician trust. • Partnerships between academic centers and health systems are essential to accelerate innovation, evaluate impact, and translate evidence into policy. • Their lab is actively collaborating with the Humana Foundation to tailor AI-driven messaging for diabetes prevention programs. At Meditology Services we’re deeply aligned with these themes—supporting healthcare organizations in navigating risk, compliance, and digital transformation with precision and purpose. 👏 Hats off to the HIMSS North Carolina Chapter organizers for curating such a meaningful dialogue. The future of healthcare is collaborative, ethical, and data-driven. #NCHIMSS #HealthcareInnovation #AIinHealthcare #DigitalHealth #Meditology #PopulationHealth #HealthEconomics #HIMSS

From predicting epileptic seizures with 95% accuracy up to 30 minutes in advance, to protecting vulnerable patients in mental-health wards without invasive surveillance, researchers at Glasgow Caledonian University are proving that technology doesn’t just make healthcare smarter – it saves lives. 💡 Led by Prof. Hadi Larijani, and now backed by UK Research and Innovation funding, our team has developed a wearable AI-powered headset that can transform epilepsy diagnosis and deliver real-time seizure prediction. The project is gaining national recognition and edging closer to commercialisation – giving patients and families peace of mind. Meanwhile, our partnership with Safehinge Primera has produced an award-winning, non-intrusive digital monitoring aid for mental health facilities. Using low-power radar, it ensures 24/7 patient safety while preserving dignity and privacy. 🔒 These breakthroughs show what’s possible when cutting-edge AI, digital innovation, and clinical research come together to solve real-world challenges. 👉 Read more about how GCU is redefining the future of healthcare in our launch issue of our Impact Magazine: https://lnkd.in/dZuiagCf #GCUImpact #GCUImpactMagazine