Scientists in London have developed a new video game-inspired AI technology to transform the way depression is diagnosed and monitored. A platform called Thymia is currently being tested by patients and clinicians with the goal of making depression and other mental health conditions as measurable as physical illnesses.
Inspired by neuroscientist Dr. Emilia Morinkiss and theoretical physicist Dr. Stefano Golia, Chimia removes subjectivity from the assessment of mental health. Instead of answering questions, patients use neuropsychology, linguistics, and machine learning to detect signs of depression and a video specially designed on a platform to monitor whether a patient is responding to treatment. Play the game.
It is currently being tried by thousands of patients, including UCL and King’s College London, to train AI algorithms and fine-tune the user experience.
Scientists behind this technology say that by allowing mental illness to be measured as objectively as physical health, clinicians can make faster and more accurate clinical decisions. I want it.
Thymia recently raised a $ 1.1 million investment to expand clinical trials and provide a platform for patients across the UK.
Chimia was created after Dr. Emilia Morinkis’s best friend developed depression. Traditional depression assessment methods failed to inform the clinician of the severity of her distress, eventually leading to suicide attempt. With this experience, Dr. Morinkis can leverage his understanding of linguistics, cognitive neuroscience, and psychology to complement and ultimately replace a highly subjective questionnaire-based approach to the diagnosis of depression. We have built a platform that can be used.
Thymia provides clinicians with faster and more accurate tools for assessing and monitoring major depression.
Dr. Emilia Morin Kiss and explainable multimodal AI expert Dr. Stefano Golia have created a smart video game-style activity for patients to interact. This tests some depressive clues. The game involves verbally explaining the animated scene and memorizing moving objects such as bees. While the user completes the game, Symia software anonymously analyzes the three major data streams.
Voice: Both how someone speaks and what they say (to pick up acoustic and linguistic depressive clues) Video: Subtle expressions and gaze (helps to track current mood) Reaction time, memory Behavioral measurements such as error rate, which helps detect the severity of depression.
The software helps identify data patterns that indicate depression and identify diagnoses more quickly and accurately. Shows whether the treatment (treatment or medication) is working over time.
The platform allows clinicians to continuously and remotely monitor patients at home for weeks between face-to-face appointments. This helps doctors and patients gain a deeper understanding of their condition over time.
Thymia ethically and comprehensively trains AI by collecting data from thousands of subjects with major depressive disorder and normative control groups. Eliminate race, gender, and age biases normally associated with AI models to make assessments as accurate and objective as possible.
Thymia has established collaborations and partnerships with several research institutes, including UCL and King’s College London to help extend the use of technology to other cognitive impairments. Scientists are already trying to apply this technique to symptoms such as Alzheimer’s disease, Lewy body dementias, Parkinson’s disease, anxiety, ADHD, and autism.
Dr. Emilia Molimpakis, CEO and co-founder of Thymia, said: Thymia was born when my best friend tried to take his life. Her friends and doctors overlooked the signs that she was terribly ill. In particular, the process of accessing appropriate treatment was based on outdated methodologies that were unsuitable for the complexity and nuances of illnesses such as depression.
Depression is a large and constantly growing social and economic problem. It is a major cause of disability and suicide, costing the UK economy billions of dollars each year with lost productivity. COVID-19 exacerbated this problem and unleashed the tsunami of mental illness due to lack of face-to-face promises, but also had severe social consequences such as social isolation, unemployment, bereavement and sadness. From January to March 2021, ONS found that 21% of adults in the United Kingdom reported depressive symptoms. This is twice the symptoms observed before the pandemic.
Nonetheless, GPs and psychiatrists use the same diagnostic questionnaires that have been around since the 1960s. Assessing how sad you feel on a 0 to 3 scale is not enough to capture the subtle nuances of early signs of depression or to track the complexity of an ongoing mental illness. No, but our clinicians haven’t been given a better choice. This means that too many cases are undiagnosed or misdiagnosed, and that too many patients wait for years to find a suitable treatment. We want to provide clinicians and patients themselves with better tools.
Thymia is bringing psychiatry to the 21st century with an AI-enabled platform for accurate and continuous patient monitoring. Its first objective psychiatric rating system combines multiple layers of abundant physiological data to assess depression and distinguish between similarly manifesting disorders. Our technology enables clinicians to evaluate and treat depression faster, while at the same time giving patients a better understanding of their condition. Over time, our goal was to become the gold standard for assessing all mental health disorders, demonstrating that mental illness is as realistic and objectively measurable as physical illness, thereby stigmatizing it. It helps to eradicate it.
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