Enhancing Autistic Girls & Women’s Wellbeing with INVEST Counseling Framework

The goal of this webinar is for parents to feel more empowered to raise children who understand their unique wiring and are proud and accepting of their neurodivergence. For more information, contact Mercedes Pagano by emailing her at paganom@fau.edu. Registration starts on May 1 and ends on May 31. Register https://parentknew.eventbrite.com

This pre-recorded webinar will provide information to caregivers & school professionals to be able to understand the challenges faced by children with ASD, the stages of development that are impacted by mental health difficulties & etc. For more information, contact Mercedes Pagano by emailing her at paganom@fau.edu. Registration opens May 1. Register https://Daly.eventbrite.com

During this webinar, clinicians will learn a framework to help Autistic women identify meaningful therapeutic goals, understand their unique neurodivergent profile, etc. For more information, contact Mercedes Pagano by emailing her at paganom@fau.edu. Registration starts May 1. Register https://wellbeingasd.eventbrite.com

The goal of this webinar is for parents to feel more empowered to raise children who understand their unique wiring and are proud and accepting of their neurodivergence. For more information, contact Mercedes Pagano by emailing her at paganom@fau.edu. Registration starts on May 1 and ends on May 31. Register https://parentknew.eventbrite.com

This course provides an introduction to the basic principles, methods, and applications of deep artificial neural networks to scientific data with an emphasis on medical image data. Students will learn how AI can be used in a variety of scientific contexts, from analyzing images for diagnostics or predicting outcomes, to uncovering new insights into biological processes. The course will cover the fundamentals of AI including mathematical tools related to linear algebra, calculus and probability theory as well as discuss practical implementations such as network architectures and optimization algorithms. Furthermore, students will apply these concepts to real-world problems by building their own AI models using software packages like Pytorch. Finally, the course will emphasize ethical considerations when applying AI systems within a healthcare context. This class is designed for both science and medical students looking to gain experience in machine learning techniques geared towards medical image analysis.Course NumbersUndergraduateCourse Number: MAT-4930CRN: 12692GraduateCourse Number: MAP-6436CRN: 12691Questions?Email whahn@fau.edu

This FREE class is specifically designed for people living with Parkinson’s and focuses on fine and gross motor skills, strength, balance, footwork, endurance and agility.Research Opportunity! For more information regarding the opportunity to be a research participant in this class, please contact: COM-ClinicalResearch@health.fau.edu