BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250515T135003Z UID:6C4234C1-2A2B-499F-8F5E-3ED2C068077C DTSTART;TZID=US/Pacific:20241111T170000 DTEND;TZID=US/Pacific:20241111T183000 DESCRIPTION:[]\n\nFree Registration (with a Zoom account\; you can get one for free if you don't already have it):\n\nhttps://sjsu.zoom.us/meeting/re gister/tZcvf--vrD0vG9PV_qyMcgadMIWG2eH2LrpY\n\nSynopsis:\n\nNeurological d isorders are a leading cause of disability and death worldwide. Early dete ction and efficient management of these disorders can provide significant health benefits. By providing real-time\, data-driven insights AI-driven m ethods meet an urgent need for early detection and management of these dis orders.\n\nIn this talk\, Prof. Phoha will present the potential of AI-dri ven early diagnosis and Digital Therapeutics (DTx) for neurological disord ers. Using the unique properties of data generated through neurological an omalies and disorders\, one can use AI methods such as transfer learning f rom existing knowledge\; one-shot and few-shot learning for spiking and sp arse data\, and hidden Markov models to find underlying relationships and causes of malignant neurological disorders. The speaker will show how the generated data can be captured through smart wearables and phones\, how un covering relationships provides insights for digital rehabilitation\, and how using augmented reality and virtual reality provides tremendous potent ial for cognitive therapy\, psychiatric assessments\, and rehabilitation. Prof. Phoha will outline a proof-of-concept smart diagnostics-enabled mirr or and discuss security issues in smart diagnostics.\n\nSpeaker(s): Prof. Vir Phoha\, Dr. Vishnu S. Pendyala\n\nVirtual: https://events.vtools.ieee. org/m/438778 LOCATION:Virtual: https://events.vtools.ieee.org/m/438778 ORGANIZER:pendyala@ieee.org SEQUENCE:22 SUMMARY:Artificial Intelligence Driven Smart Digital Diagnostics and Therap eutics for neurological disorders - Distinguished Lecture by Prof. Vir Pho ha URL;VALUE=URI:https://events.vtools.ieee.org/m/438778 X-ALT-DESC:Description: <br /><p>&nbsp\;</p>\n<p><img style="float: right\; " src="https://events.vtools.ieee.org/vtools_ui/media/display/8943f02d-d79 f-4d57-aff7-f1f25a6efa8d" alt="" width="418" height="203"></p>\n<p>Free Re gistration (with a Zoom account\; you can get one for free if you don't al ready have it):&nbsp\;</p>\n<p><a href="https://sjsu.zoom.us/meeting/regis ter/tZcvf--vrD0vG9PV_qyMcgadMIWG2eH2LrpY">https://sjsu.zoom.us/meeting/reg ister/tZcvf--vrD0vG9PV_qyMcgadMIWG2eH2LrpY</a>&nbsp\;</p>\n<p><em><strong> Synopsis:<br></strong></em></p>\n<p>Neurological disorders are a leading c ause of disability and death worldwide. Early detection and efficient mana gement of these disorders can provide significant health benefits. By prov iding real-time\, data-driven insights AI-driven methods meet an urgent ne ed for early detection and management of these disorders.&nbsp\;</p>\n<p>< br>In this talk\, Prof. Phoha will present the potential of AI-driven earl y diagnosis and Digital Therapeutics (DTx) for neurological disorders. &nb sp\;Using the unique properties of data generated through neurological ano malies and disorders\, one can use AI methods such as transfer learning fr om existing knowledge\; one-shot and few-shot learning for spiking and spa rse data\, and hidden Markov models to find underlying relationships and c auses of malignant neurological disorders. The speaker will show how the g enerated data can be captured through smart wearables and phones\, how unc overing relationships provides insights for digital rehabilitation\, and h ow using augmented reality and virtual reality provides tremendous potenti al for cognitive therapy\, psychiatric assessments\, and rehabilitation. P rof. Phoha will outline a proof-of-concept smart diagnostics-enabled mirro r and discuss security issues in smart diagnostics.<em><strong><br></stron g></em></p> END:VEVENT END:VCALENDAR