[Music] So, imagine you're talking to a friend and out of nowhere a wave of nausea hits you. You attempt to brush it off thinking it's just a little bit of nausea, but then your heart starts pounding really fast. Feels like your heart's heavy, almost like it's trying to escape your own body.Each breath you take feels harder to pull in. Like the air around you is really thick and it's hard to breathe. Your eyes start to swell with tears and you start debating, are you having a panic attack or is something el ...

Impact of Funding Cuts - NIH funding cuts do not directly impact the company's current business [1] - NIH funding cuts will require others to offset research and innovation progress [2] Healthcare Economics & Rare Diseases - Rare diseases have a trillion dollar economic impact in the United States [3] - A significant portion of the economic impact of rare diseases is due to lack of diagnosis, leading to treatment of symptoms and hospitalizations [3] - Early diagnosis of diseases can save the healthcare system significant dollars [4] - The company delivers better clinical outcomes and saves the healthcare system money [2]

Autism Diagnosis Trends - More children are being diagnosed with autism than ever before [1] - Doctors and scientists attribute much of the rise to changes in diagnosis and awareness over the years [1]

Cognitive Biases and Pattern Recognition - The human brain is wired to identify patterns for survival, but this can lead to finding patterns where they don't exist, a phenomenon called apophenia [1][2][3][4] - Cognitive biases, like availability bias, can cause inaccurate or illogical decision-making, even among skilled professionals such as doctors [5][6][7] - Emotions can impair the ability to understand probability objectively, leading to misinterpretations of data and potentially harmful consequences [9][10][11][12] Artificial Intelligence in Healthcare - AI is a fast and accurate pattern detector capable of processing vast amounts of data, but it is trained on human data and can therefore reflect human biases [7][8][13] - AI can surface potential diagnoses that human doctors may not consider, highlighting its potential as a diagnostic tool [15][16] - A partnership between AI and human intelligence is crucial for accurate diagnoses and better decision-making in high-stakes situations [17][18] Numeracy and Probability - Numeracy, the ability to understand and work with numbers, and probability are essential for objective decision-making [8][9] - Misunderstanding probability can lead to severe consequences, as illustrated by the Sally Clark case where incorrect statistical analysis resulted in a wrongful conviction [10][11][12]

Healthcare Challenges & Opportunities - AI in healthcare aims to augment human intelligence, not replace it, utilizing technologies like machine learning and natural language processing [4][5] - The healthcare industry faces challenges including information overload, clinician burnout, and wasteful spending, with 20% of costs considered wasteful and significant expenses related to billing and administration [8][10][11] - AI can improve diagnosis using image recognition, reduce documentation burden through automated note-taking, and enhance hospital flow by triaging patients and allocating resources [12][13][15] AI Adoption & Concerns - AI adoption in healthcare follows the Gartner hype cycle, with image recognition already productive but disease treatment and behavioral health still facing inflated expectations and disillusionment [6][7] - There is existing bias against AI-generated medical advice, with people finding it less reliable and empathetic compared to advice from human doctors [16][17] - Legal and ethical questions arise regarding data ownership, liability for incorrect AI advice, and potential loss of trust in manual processes due to AI involvement [18][19] - Bias can be built into AI systems through problem selection, data collection methods, and inherent assumptions, potentially leading to skewed outcomes [21] Future Vision - The future vision involves AI-powered wearable devices that can detect health issues, alert emergency services, and transmit vital information to hospitals, improving patient care and outcomes [22][23][24][25]

Healthcare Challenges & Opportunities - Healthcare data overload exceeds human capacity, hindering effective diagnosis and treatment [1] - Delayed or missed diagnoses, particularly in women's health, lead to prolonged suffering and uncertainty [2][3][4] - In women's health, for every one woman diagnosed, four remain undiagnosed or undertreated [5] - Up to 90% of patients are left untreated or undertreated despite available data [5] - Over half of patients with COPD remain undiagnosed or undertreated [10] - Significant variation in healthcare availability exists [20] Pangaea Data's Solution: PALLUX AI Platform - PALLUX mimics physician decision-making by integrating medical knowledge and patient interaction data [8][9] - PALLUX interprets patient data using clinical guidelines to provide real-time responses to clinicians [14][15] - PALLUX connects with different healthcare systems through various interfaces [15] - PALLUX, deployed with the NHS, found six times more undiagnosed cancer cachexia patients compared to traditional methods [19][20] - Early diagnosis via PALLUX can cut cachexia treatment costs by up to 50% and potentially save 1 billion pounds per year [20] - PALLUX helps find more patients who are falling in care gaps and bring them back on to the relevant care pathway [32] Technology & Collaboration - NVIDIA and Microsoft support Pangaea Data with AI technologies, including large language models and NVIDIA GPUs [16][24][25] - NVIDIA FLARE helps train centralized models while preserving patient privacy [24] - Microsoft Azure provides a compliant environment across different countries and territories [22][23] Impact & Future - Early diagnosis and guideline-concordant therapy improve patient outcomes and reduce hospital admissions [16][17] - AI-powered clinicians can provide more empathetic and personalized care [18] - Unlocking health record data can revolutionize the healthcare landscape [19] - Pangaea Data's approach can be applied globally to address challenges in identifying and treating patients [26]