Advancing Healthcare Innovation Summit (AHIS) 2025: Embracing Artificial Intelligence and Digital Health

Abstract

The 2025 Advancing Healthcare Innovation Summit (AHIS), held virtually on April 26, brought together a broad international audience of researchers, clinicians, digital health professionals, and aspiring innovators to discuss topics related to artificial intelligence (AI) and digital health. Hosted by the Innovative Healthcare Institute, an organization committed to promoting the adoption of groundbreaking solutions in healthcare, and the Innovations in Digital Health, Diagnostics, and Biomarkers Journal, AHIS provided a multidisciplinary platform to present cutting-edge research, foster collaboration, and promote the responsible integration of digital technologies into healthcare. The agenda featured several thoughtfully selected presentations addressing topics such as AI in clinical diagnostics, digital biobanking, patient-centered data platforms, and applications in behavioral health.The conference featured a series of awards to acknowledge exceptional contributions, including the Aspiring Innovator of the Year Award, the Young Innovator of the Year Award, and the Chairman’s Award. These recognitions were designed to honor originality, impact, and excellence in the field of digital health innovation. Zisis Kozlakidis from the International Agency for Research on Cancer, part of the World Health Organization in France, chaired the meeting, ensuring productive discussion, thematic consistency, and contributing to a critical facet of the debate.A recently published editorial by Karine Sargsyan, “Artificial Intelligence and Machine Learning: Technologies Revolutionizing the Healthcare Sector and Biomedical Research,”[1] highlights the central themes of the summit. The editorial analyzes how digital advances are currently transforming healthcare. She highlighted how these technologies offer unparalleled opportunities to advance the medical field, leading to better patient care, from prevention to diagnosis, treatment, and long-term management. All presentations provided concrete evidence of this vision and demonstrated how innovative technologies are being utilized to address the sector’s challenges.The following is a summary of the event proceedings: abstracts are published in IDDB,[2] and complete presentation recordings are available on InnoScholar.com.[3]The opening session of AHIS 2025 (moderated by Denis Marino) addressed the rising need to manage complexity in medical research and healthcare systems using smart, innovative, scalable, and ethically based digital solutions. Presenters from academia, health technology, and clinical research share distinct yet complementary solutions for tackling the challenges of AI integration, biospecimen utility, and secure data sharing.Anna Michalska-Falkowska of the Medical University of Bialystok (MUB), Poland, highlighted the vital role of digital transformation in biobanking. In her presentation, “Digital Pathology Integration in Biobanking: Transforming Precision Medicine and Research,” she outlined how high-resolution slide imaging, telepathology, and seamless data integration can significantly enhance diagnostic precision and collaborative potential. This presentation received the Aspiring Innovator of the Year Award. In her second presentation, Anna described the development of the MUB Biobank, highlighting its role as a hub for generating multiomic data, discovering biomarkers, and facilitating international collaboration.From a computational point of view, Mostafa Mohiuddin (Children’s Cancer Research Unit, Sydney Children’s Hospital Network, Australia) introduced a protocol-agnostic AI-based framework that utilizes inherited genetic variants to predict treatment response in pediatric cancer. His two-step approach, which combines global variant selection and instance-specific refinement via a neural network module, demonstrates how AI can capture clinically actionable signals from complex genomic data.Expanding the discussion on predictive modeling, Eszter Tuboly (Semmelweis University, Hungary) presented a systematic review and meta-analysis comparing traditional prognostic markers, omics-based models, and AI-driven tools in pediatric cancer. Although conventional methods remain prevalent, her findings support the clinical utility of AI-based approaches, emphasizing the need for externally validated models and high-quality biobank datasets, particularly for rare disease applications.Loukia Touramanidou (Metabio, Greece) highlighted the importance of decentralized data governance through the introduction of AI-MetaBloQ, a blockchain-enabled biospecimen marketplace designed to support ethical, transparent, and secure data exchange. The platform empowers patients with control over their samples while incorporating real-time AI-based quality assessment to enhance specimen reliability.Focusing on the development of collaborative infrastructure, Jasper Hoi Chun Luong (Healthy Macau New-Generation Association, China) and Zisis Kozlakidis (International Agency for Research on Cancer, WHO) introduced a maturity model designed for assessing Federated Analytics Networks (FAN) and Trusted Research Environments (TREs). Building on initiatives such as ELIXIR and the One Million Genomes project, their model promotes international research collaboration while addressing legal, operational, and governance challenges.In the area of behavioral health, Dan Holley (NeuroFlow, USA) presented a study comparing large language models (LLMs) with expert clinicians in stratifying suicide risk. His findings demonstrated that LLMs not only closely matched physician judgment (92% agreement) but also achieved improvements in speed and cost efficiency, highlighting the potential of AI to enhance triage in high-risk clinical scenarios.The Aspiring Innovator session offered insightful perspectives on how the synergistic integration of high-quality biobanking, sophisticated data management, and advanced AI applications fundamentally shape the future of precision medicine and biomedical research.Session 2 of AHIS 2025 (moderated by Zisis Kozlakidis) featured an interesting series of presentations by precollege students from the DiscoverSTEM program. DiscoverSTEM is a US-based educational initiative that encourages middle and high school students to engage in research across multiple disciplines, aiming to develop innovative solutions to real-world issues. The students’ work in this session reflects the growing potential of youth-led innovation in shaping the future of healthcare. A common thread throughout the session was the application of AI and brain-computer interfaces (BCIs) to understand the repercussions of disruptive stimuli, including trauma and digital media, and to develop solutions that promote emotional regulation and cognitive resilience in children and adolescents.Taheea Ahmed (Genomics, Biotech, and Health Sciences Research Lab) opened with a literature review on nightmares in children with post-traumatic stress disorder (PTSD), highlighting the lack of pharmacological treatment evidence and the promising outcomes of nonpharmacological approaches, including but not limited to cognitive behavioral therapy. Her findings emphasize the need to expand research and clinical training in pediatric sleep medicine.Extending this concern for cognitive development, Meher Singh (Brain-Computer Interface and Neurotechnology Research Lab) analyzed how the consumption of short-form media (e.g., TikTok, YouTube Shorts) affects memory and attention. Although participants showed improvement in short-term memory after exposure, their long-term attention was considerably reduced. This raises important questions regarding the long-term neurocognitive effects of short-form media consumption.Ridah Shanavas (Brain-Computer Interface and Neurotechnology Research Lab) received third place for her presentation, which demonstrated how different sound stimuli affect brain wave activities in teenagers. Their electroencephalogram (EEG)-based study revealed that natural sounds increase alpha wave activity and promote relaxation, whereas video game music enhances beta activity, suggesting greater alertness. These results support the development of sound-based mental health interventions in therapeutic and educational settings. In her second presentation on AI in mental health diagnostics, which received the Chairman’s Award, Ridah demonstrated the effectiveness of AI LLM models in the early detection and diagnosis of mental health disorders. Four LLMs were evaluated using the simulated profiles based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR). The results showed an 89.5% accuracy rate in diagnosing mental health disorders, highlighting the utility of the trained AI models in this domain.Mishaal Qureshi (Artificial Intelligence Lab) presented a comparative assessment of LLMs for the analysis of AI-powered dietary recommendations. Among the tested models, ChatGPT showed the highest accuracy in linking food impact to personalized patient profiles, demonstrating the growing potential of AI in preventive health and chronic disease management. This presentation received the second-place award.Shazneen Sheik (Brain-Computer Interface and Neurotechnology Research Lab) concluded the session and introduced Moodio, an emotion-regulating application. By combining EEG data, machine learning, and real-time interventions, such as music therapy and guided breathing, Moodio demonstrated measurable improvements in alpha wave activity associated with emotional regulation, highlighting its effectiveness in promoting emotional support platforms for diverse pediatric populations. This work received first place for the Young Innovator of the Year Award.Together, these presentations showcased the exceptional talents and visions of DiscoverSTEM students, who applied advanced technologies to address real-world challenges in the mental health and cognitive development of young adults. Their work reflects a deep understanding of scientific principles and remarkable innovation abilities, offering a compelling vision of the future of next-generation healthcare and science.AHIS 2025 concluded with a round-table discussion led by Dan Catchpoole (University of Technology, Sydney), Zisis Kozlakids (International Agency for Research on Cancer, WHO), and Mirza Faizan (DiscoverSTEM).Panelists have highlighted the crucial role of collaboration among researchers, educators, and healthcare professionals in driving innovation. They emphasized that interdisciplinary teamwork is essential for addressing complex healthcare challenges and fostering a culture that encourages the exchange of ideas and expertise.A significant focus of the discussion was the proactive identification and resolution of key barriers to innovation. Strategies such as leveraging emerging technologies and adopting flexible methodologies were proposed to enhance the effectiveness and scalability of healthcare solutions. Central to this effort is the integration of these technologies into the core of healthcare education, with educational institutions being recognized as pivotal drivers of this integration. The participants emphasized the importance of incorporating innovation-focused curricula that promote creativity, critical thinking, and adaptability in the next generation of healthcare professionals.The discussion reinforced that collaboration, challenge identification, educational transformation, research investment, and continuous improvement are essential elements in shaping a more effective healthcare landscape. Teaching innovation involves equipping students with the knowledge and skills needed to understand, develop, and adapt to emerging technologies and ideas. However, educators face significant challenges, including keeping pace with rapid advancements, meeting diverse learning needs, and striking a balance between theoretical foundations and practical applications.Finally, panelists looked toward the future, advocating for continuous adaptation to emerging trends and emphasizing the need for ongoing investment in research, infrastructure, and framework development. Flexibility, responsiveness, and a commitment to lifelong learning are critical components of healthcare systems that are prepared to navigate future challenges and opportunities.“Digital Pathology Integration in Biobanking: Transforming Precision Medicine and Research,” by Anna Michalska-Falkowska (Medical University of Bialystok, Bialystok, Poland).“Moodio: An Emotional Support Application for Neurotypical and Autistic Children,” by Shazneen Sheik and Sheik Ahamed Azigar Ali (DiscoverSTEM Brain Computer Interface and Neurotechnology Research Lab, Plano, TX, USA).“Personalized AI-Powered Ingredient Analysis and Recommendation,” by Mishaal Qureshi, Aariz Chaudhry, Iliyan Mithani, Akshara Kommidi, Jiya Singh, Mohammed Kaamil Shadab, Sheik Ahamed Azigar Ali, Ridah Shanavas, Abrar Ameer, and Amra Ameer (DiscoverSTEM Artificial Intelligence Lab, Plano, TX, USA).“Exploring the Impact of Sound Stimuli in Brain Waves to Identify Which Stimuli Promotes Relaxation,” by Ridah Shanavas, Shazneen Sheik, Rishon Ishwa Rajesh, Manyatha Simhambhatla, Rithvik Kamesh, Omar Ismail, Hajer Janabi, Srila Gangalakunta, and Nithyashri Ramesh (DiscoverSTEM Brain Computer Interface and Neurotechnology Research Lab, Plano, TX, USA).“Advancing Mental Health Diagnosis using AI,” by Ridah Shanavas, Anjhani Ramesh Kumar, Rishi Sai Poola, Suhani Sharma, Reyansh Singh, Arjun Kommidi, Manan Sethi, Sheik Ahamed Azigar Ali, Aayan Ali, Sobia Surani, and Ashaz Haque (DiscoverSTEM Artificial Intelligence Lab, Plano, TX, USA).

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