ProMIS Neurosciences to Participate in the Biotech Showcase 2022 Virtual Panel Discussion: Aduhelm Stimulating the Next Generation of Alzheimer’s Treatment


TORONTO, Ontario and CAMBRIDGE, Mass., Jan. 07, 2022 (GLOBE NEWSWIRE) -- ProMIS Neurosciences, Inc. (TSX: PMN) (OTCQB: ARFXF), a biotechnology company focused on the discovery and development of antibody therapeutics targeting misfolded proteins such as toxic oligomers implicated in the development of neurodegenerative diseases, announced today its participation in the Biotech Showcase 2022 virtual panel discussion to be held on Jan. 11, 2022 from 8 AM to 9 AM PST.

Eugene Williams, ProMIS Chairman and CEO, will participate on the panel, moderated by John Vandermosten, Senior Biotechnology Analyst, Zacks Investment Research. Other panelists include:

  • Phyllis Barkman Ferrell, Global Head of External Engagement for Alzheimer’s disease & Neurodegeneration, Eli Lilly & Company
  • Travis Bond, CEO, Altoida, Inc.
  • Michael McFadden, CEO, Alpha Cognition, Inc.
  • Lisa Ricciardi, CEO, Cognition Therapeutics, Inc.
  • Brent Vaughan, CEO, Cognito Therapeutics

“We look forward to sharing our views and a lively discussion on this panel,” stated Eugene Williams. “In our opinion, improved, next generation treatments for Alzheimer’s disease, selectively targeting misfolded, toxic oligomers of amyloid beta (and not plaque forms of amyloid) will be the key to greater efficacy and tolerability compared to first generation antibody therapies such as Aduhelm.”

The agenda is available on the Biotech Showcase website. 
The event will be livestreamed and available for replay by registered attendees. Registration details may be found here: https://informaconnect.com/biotech-showcase/registration-options/.

About ProMIS Neurosciences
ProMIS Neurosciences, Inc. is a development stage biotechnology company focused on discovering and developing antibody therapeutics selectively targeting toxic misfolded oligomers implicated in the development and progression of neurodegenerative diseases, in particular Alzheimer’s disease (AD), amyotrophic lateral sclerosis (ALS) and Parkinson’s disease (PD). The Company’s proprietary target discovery engine is based on the use of two complementary computational modeling techniques. The Company applies its molecular dynamics, computational discovery platform -ProMIS™ and Collective Coordinates - to predict novel targets known as Disease Specific Epitopes on the molecular surface of misfolded proteins. ProMIS is headquartered in Toronto, Ontario, with offices in Cambridge, Massachusetts. ProMIS is listed on the Toronto Stock Exchange under the symbol PMN, and on the OTCQB Venture Market under the symbol ARFXF
Visit us at www.promisneurosciences.com, follow us on Twitter and LinkedIn

For Investor Relations please contact:
Alpine Equity Advisors
Nicholas Rigopulos, President
nick@alpineequityadv.com
Tel. 617 901-0785

The TSX has not reviewed and does not accept responsibility for the adequacy or accuracy of this release. This information release contains certain forward-looking information. Such information involves known and unknown risks, uncertainties and other factors that may cause actual results, performance or achievements to be materially different from those implied by statements herein, and therefore these statements should not be read as guarantees of future performance or results. All forward-looking statements are based on the Company's current beliefs as well as assumptions made by and information currently available to it as well as other factors. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date of this press release. Due to risks and uncertainties, including the risks and uncertainties identified by the Company in its public securities filings, actual events may differ materially from current expectations. The Company disclaims any intention or obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise.

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