Deep Phenotyping as a Driver for Clinical Innovation: Strategies from Charcot to the 21st Century
Christopher G. Goetz, MD
Rush University Medical Center, Chicago, IL USA
Parkinson’s disease, Deep Phenotyping
This lecture provides an overview of strategies applicable to deep phenotyping in Parkinson’s disease research. The lecturer uses an historical perspective that focuses on key research lessons from the 19th century French neurologist, Jean-Martin Charcot, considered as the “father of clinical neurology.”
- Describe deep phenotyping in the context of current research strategies
- Consider Parkinson’s disease as a model condition for applying deep phenotyping approaches.
- Utilize historical perspectives to consider deep phenotyping approaches as natural extensions of the work of Jean-Martin Charcot.
Students, residents, fellows, neurologists, scientists, allied health professionals, industry colleagues
This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME). The International Parkinson and Movement Disorder Society is accredited by the ACCME to provide continuing medical education for physicians.
Credit Designation Statement:
The International Parkinson and Movement Disorder Society designates this activity for a maximum of .75 AMA PRA Category 1 Credits™. Physicians should only claim credit commensurate with the extent of their participation.
Participants must complete an evaluation for each session they attend to receive continuing medical education credit. Your chosen session(s) must be attended in their entirety. Partial credit for individual sessions is not available.
Content Validity Statement:
All recommendations involving clinical medicine in MDS activities are based on evidence that is accepted within the profession of medicine as adequate justification for their indications and contraindications in the case of patients. All scientific research referred to, reported or used in CME in support or justification of a patient care recommendations conforms to the generally accepted standards of experimental design, data collection and analysis. Activities that promote recommendations, treatment or manners of practicing medicine not within the definition of CME or are knowing to have risks or dangers that outweigh the benefits or are knowing to be ineffective in the treatment of patients do not constitute valid CME.
Disclosure of Financial Relationships:
All individuals in control of content for this webinar are required to disclose all relevant financial relationships with commercial interests as defined by the ACCME. Disclosure information is available here.