Keeping pace with the ever-changing life sciences industry, Morrison Foerster stays on top of the trends and political, legal, and economic drivers to support striking the balance between innovative discovery and purposeful business planning to assure our clients continued success. MoFo Life Sciences shares timely legal and business insights and in-depth analyses on trends and the complex technologies at the heart of the global pharmaceutical, biotechnology, diagnostics, medical devices, digital health, and AgTech fields.Learn more about our <a href="https://www.mofo.com/capabilities/life-sciences-healthcare" target="_self">Life Sciences practice</a>.<h2 dir="ltr">ABOUT MORRISON FOERSTER</h2>Morrison Foerster is a leading global law firm that transforms complexity into advantage for its clients. Our clients include some of the largest financial institutions, banks, consulting and accounting firms, and Fortune 100, technology, and life sciences companies. Highlighting the firm’s commitment to client service, leadership in market-changing deals and impact litigation, and values-based culture, Morrison Foerster has been repeatedly recognized as one of the top 10 firms on The American Lawyer’s A-List. Year after year, the firm receives significant recognition from Chambers and The Legal 500 across their various guides, including Global, USA, Asia‑Pacific, Europe, UK, Latin America, and FinTech Legal. Our lawyers passionately care about delivering legal excellence while living our values. Morrison Foerster has a long-standing commitment to creating a culture that respects and celebrates differences, while providing an inclusive environment. The firm has achieved Mansfield Certification Plus since 2018 as a result of successfully reaching at least 30 percent women, communities of color, and LGBTQ+ lawyer representation in a notable number of current leadership roles and committees. The firm also has a long history of commitment to the community and society through providing pro bono legal services, including litigating for civil rights and civil liberties, improving public education and fostering the wellbeing of children, advocating for veterans, promoting international human rights, enforcing the right to asylum, and safeguarding the environment.

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Dr. Meghan Poon counsels clients on patent preparation and prosecution, portfolio strategy, and IP due diligence in the areas of biotechnology and biologics. She has significant experience in diverse technologies including antibodies, cell therapies, gene therapies, diagnostics, and gene-edited plants. She represents clients ranging from large international pharmaceutical companies to midsized companies, startups, and universities.Meghan has filed numerous Patent Term Extension applications to secure additional term for her clients’ patents, which cover FDA-approved products. In addition, Meghan has extensive experience addressing complex obviousness-double patenting and subject matter eligibility issues impacting her clients’ patent portfolios. Meghan also represents clients in both investor-side and target-side due diligence, in deals from seed funding to initial public offerings.Prior to law school, Meghan attended graduate school at the University of California, Los Angeles, where she received a Ph.D. in biological chemistry based on her work on protein-protein and protein-DNA interactions at a molecular level. Meghan is the author of several scientific publications and has presented her research at international conferences.Meghan received her J.D. from the University of Southern California Law School and spent a year as a visiting student at Santa Clara University, where she focused on intellectual property.

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Dr. Meghan Poon counsels clients on patent preparation and prosecution, portfolio strategy, and IP due diligence in the areas of biotechnology and biologics. She has significant experience in diverse technologies including antibodies, cell therapies, gene therapies, diagnostics, and gene-edited plants.

Meghan Poon

Wolfgang advises clients on contentious and non-contentious matters involving their most valuable intellectual property assets in life sciences, digital, and high-tech industries.His subjects of focus include research and development collaborations, complex licensing agreements, and other technology transactions, as well as know-how protection strategies, and employee invention law. He also has substantial experience in litigating patents, trademarks, and other intellectual property assets, often in a multijurisdictional context. In addition, Wolfgang and his team frequently clear trademarks and ad campaigns and prosecute trademark applications.Wolfgang is co-editor of our <a href="https://lifesciences.mofo.com/" dir="ltr" target="_blank">MoFo Life Sciences Blog</a>.Wolfgang is a partner of Morrison Foerster based in our German office in Berlin.<h4 dir="ltr">Representative Transactional Matters</h4><ul dir="ltr"><li>U.S.-based BioTech fund on various research collaborations and other transactions with German start-ups or research institutions.</li><li>Negotiate multimillion-euro strategic partnership between two AgTech leaders concerning the development and commercialization of pest-resistant transgenic traits.</li><li>Craft global multi-million collaboration regarding AI-powered robotic MaaS.</li><li>UK-based digital health company on product roll-out of RPM applications in Germany; coordinate international expansion.</li><li>Advise numerous German start-ups on their U.S. expansion.</li><li>Draft diverse global patent and know-how license agreements in the areas of AgTech and life sciences—including gene licensing and licensing of genome editing technologies (e.g., CRISPR)—and medical devices; draft correlating supply and distribution agreements.</li><li>Structure IP rights in connection with joint ventures and other M&A transactions, including the carve-out of a patent-heavy semiconductor business comprising nine jurisdictions into a German–U.S. joint venture.</li><li dir="ltr">Advise on government-funded, multi-partner R&D projects and/or R&D projects with academic institutions, as well as on employee invention law.</li></ul><h4 dir="ltr">Representative Contentious IP Matters</h4><ul dir="ltr"><li>Lead counsel in an international dispute between software companies on rights and obligations following termination of a multi-million licensing and distribution arrangement; coordinate local counsel.</li><li>Defend Japanese chip manufacturer in high-profile SEP-litigation; advise on global settlement arrangement.</li><li>Represent leading internet retailer in patent infringement and concurrent invalidity proceedings in the context of a multijurisdictional dispute concerning touch-screen technology.</li><li>Represent diverse pharmaceutical and life sciences companies in national and cross-border patent infringement proceedings and other technology-related disputes, including preliminary injunctions as well as pre‑trial discovery and inspection proceedings, concerning, inter alia, drug-coating technologies, toner cartridges, medicinal gases, transgenic plants, and vaccines.</li><li dir="ltr">Conduct trademark, copyright, and false advertising litigation, including, most notably, a high-profile trademark litigation for a German bank, and a nine-country cross-border trademark litigation involving a famous pharmaceutical brand.</li></ul>

Dr. Wolfgang Schönig berät Mandanten zum Schutz des geistigen Eigentums sowohl in streitigen als auch nichtstreitigen Angelegenheiten, mit einem besonderen Fokus auf die IP-rechtliche Beratung von Unternehmen aus den Bereichen Life Sciences, Digitalwirtschaft und High-Tech.Zu seinen Beratungsschwerpunkten gehören Forschungs- und Entwicklungskooperationen, komplexe Lizenzvertragsgestaltungen und andereTechnologie-Transaktionen, sowie Know-how-Schutz-Strategien und das Arbeitnehmererfinderrecht. Er verfügt zudem über umfangreiche Prozesserfahrung zur Durchsetzung von Patenten, Marken- und anderen IP-Rechten, häufig auch in einem grenzüberschreitenden Kontext. Darüber hinaus bewertet Dr. Wolfgang Schönig zusammen mit seinem Team regelmäßig die Rechtskonformität von Werbekampagnen, prüft die Verfügbarkeit von Marken und entwickelt entsprechende Anmeldestrategien.Dr. Wolfgang Schönig ist Co-Editor des Life Sciences Blogs von Morrison Foerster.Er hat seinen Doktortitel an der Heinrich-Heine-Universität Düsseldorf und seinen LL.M. an der Fordham School of Law in New York erworben, jeweils mit Schwerpunkt im gewerblichen Rechtsschutz. Seinen MBA-Abschluss erhielt er von der European University in Barcelona.Dr. Wolfgang Schönig ist Partner des deutschen Büros von Morrison Foerster in Berlin.<h4 dir="ltr">Repräsentative Transaktionen</h4><ul><li dir="ltr">BioTech-Fonds mit Sitz in den USA bei verschiedenen Forschungskooperationen und anderen Transaktionen mit deutschen Start-ups oder Forschungseinrichtungen</li><li dir="ltr">Verhandlung einer hochvolumigen strategischen Partnerschaft zwischen zwei Technologieführern im Bereich Crop Science betreffend der Entwicklung und Kommerzialisierung von bestimmten Resistenzen</li><li dir="ltr">Gestaltung einer globalen Multi-Millionen-Zusammenarbeit für KI-gestützte Roboter</li><li dir="ltr">Ein in Großbritannien ansässiges Unternehmen für digitale Gesundheit bei der Markteinführung von RPM-Anwendungen in Deutschland; Koordination der internationalen Expansion</li><li dir="ltr">Beratung zahlreicher deutscher Start-ups bei deren US-Expansion</li><li dir="ltr">Strukturierung und Verhandlung diverser Patent- und Know-How-Lizenzen in den Bereichen Ag Tech und Life Sciences – einschließlich Fragen zu genome editing wie CRISPR-Medizingeräte, sowie Gestaltung von Softwarelizenzverträgen und Erstellung korrespondierender Liefer- und Vertriebsvereinbarungen</li><li dir="ltr">Strukturierung von IP-Rechten im Zusammenhang mit Joint Ventures und anderen M&A-Transaktionen, darunter die Koordination eines neun Länder umfassenden IP Carve-Outs im Rahmen eines Halbleiter-JVs</li><li dir="ltr">Beratung zu staatlich geförderten Multi-Partner F&E-Projekten und/oder F&E-Projekten mit akademischen Einrichtungen sowie zum Arbeitnehmererfindungsrecht</li></ul><h4 dir="ltr">Repräsentative IP-Streitigkeiten</h4><ul><li dir="ltr">Lead Counsel in einem internationalen Rechtsstreit zwischen Softwareunternehmen über Rechte und Pflichten nach Beendigung einer millionenschweren Lizenz- und Vertriebsvereinbarung; Koordinierung der lokalen Anwälte</li><li dir="ltr">Verteidigung eines japanischen Chipherstellers in einem prominenten Streitfall bezüglich Standardessentieller Patente (SEP); Beratung zu einer globalen Vergleichsregelung</li><li dir="ltr">Verteidigung einer führenden Internetplattform gegen Ansprüche eines Patenttrolls wegen vermeintlicher Verletzung von Patent bezüglich Touchscreen-Technologie sowie korrespondierende US-Streitigkeiten</li><li dir="ltr">Vertretung von Pharma- und Life Science-Unternehmen in nationalen und grenzüberschreitenden Patentverletzungsverfahren und anderen technologiebezogenen Streitigkeiten, einschließlich einstweiliger Verfügungsverfahren und vorprozessualer Beweissicherungs- und Besichtigungsverfahren, unter anderem in Bezug auf Arzneimittelbeschichtungstechnologien, Tonerkartuschen, medizinische Gase, transgene Pflanzen und Impfstoffe</li></ul>

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Wolfgang Schönig is a partner of Morrison Foerster (International) LLP based in our German office in Berlin. His practice specialty is advising on IP aspects relative to transactions in, among others, the life sciences, AgTech and pharmaceuticals industry, as well as legal representation in IP disputes. Wolfgang is specialized in research and development collaborations, complex licensing agreements, technology acquisitions, know-how protection strategies, and employee invention law.

Wolfgang Schönig focuses his practice on IP aspects relative to transactions in the digital, telecoms, high tech, life sciences, and pharmaceuticals industry, as well as legal representation in IP disputes.

Wolfgang Schönig advises clients on IP aspects relating to transactions in, among others, the life sciences, AgTech and pharmaceuticals industry, as well as legal representation in IP disputes. His additional focus areas include research and development collaborations, complex licensing agreements, technology acquisitions, know-how protection strategies, and employee invention law.

Wolfgang Schönig

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U.S. Food and Drug Administration (FDA) has acknowledged the prevalence of Artificial Intelligence/Machine Learning (AI/ML)-Based Software as Medical Devices (S

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FDA’S PLAN FOR AI/ML-BASED SOFTWARE AS MEDICAL DEVICES: PROGRESS AND CONCERNS

FDA’S PLAN FOR AI/ML-BASED SOFTWARE AS MEDICAL DEVICES: PROGRESS AND CONCERNS | MoFo Life Sciences

Jean Nguyen Ph.D.

U.S. Food and Drug Administration (FDA) has acknowledged the prevalence of Artificial Intelligence/Machine Learning (AI/ML)-Based Software as Medical Devices (SaMDs) and has been taking steps towards advancing its regulatory oversight. The FDA recently published an AI/ML SaMD action plan, developed in direct response to stakeholder feedback. It is now one month later, and the FDA has yet to implement any steps outlined in its action plan, all the while approving more and more AI products. This post discusses the progress the FDA has made thus far for regulating AI/ML-based SaMDs and the concerns that remain.<h4>FDA’s Progress for Regulatory Oversight</h4>Artificial intelligence is growing rapidly in the field of healthcare. The <a target="_blank" href="https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-software-medical-device">FDA has acknowledged</a> its importance and the impact it has on health care, but has not been able to keep up with manufacturers. In April 2019, the FDA published “<a target="_blank" href="https://www.fda.gov/files/medical%20devices/published/US-FDA-Artificial-Intelligence-and-Machine-Learning-Discussion-Paper.pdf">Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) – Discussion Paper and Request for Feedback</a>,” describing for the first time, clearly, the FDA’s potential approach to premarket review of AI/ML SaMDs. The potential approach involved a “Predetermined Change Control Plan” for premarket submissions including “SaMD Pre‑Specifications” (SPS) and an “Algorithm Change Protocol” (ACP) to account for the iterative nature of AI/ML-based SaMDs.In February 2020, the FDA announced a marketing authorization via the De Novo pathway for the <a target="_blank" href="https://www.fda.gov/news-events/press-announcements/fda-authorizes-marketing-first-cardiac-ultrasound-software-uses-artificial-intelligence-guide-user">first cardiac ultrasonic software that uses AI to guide users</a>. The manufacturer used a Predetermined Change Control Plan in its application to obtain authorization.In the same month, the FDA held a public workshop on the “Evolving Role of Artificial Intelligence in Radiological Imaging.” The FDA and the public stakeholders discussed best practices for validation of AI‑automated radiological imaging software and image acquisition devices.In September 2020, FDA launched the <a target="_blank" href="https://www.fda.gov/news-events/press-announcements/fda-launches-digital-health-center-excellence">Digital Health Center of Excellence</a> within the Center for Devices and Radiological Health. According to the FDA, the focus of the Digital Health Center of Excellence is “helping both internal and external stakeholders achieve their goals of getting high quality digital health technologies to patients by providing technological advice, coordinating and supporting work being done across the FDA, advancing best practices, and reimaging digital health device oversight.”In January 2021, the FDA published “<a target="_blank" href="https://www.fda.gov/news-events/press-announcements/fda-releases-artificial-intelligencemachine-learning-action-plan">Artificial Intelligence/Machine Learning (AI/ML)‑Based Software as a Medical Device (SaMD) Action Plan</a>,” outlining the FDA’s plans for progressing its regulatory oversight. The Action Plan identified five areas for the FDA focus: <ol><li>Tailored regulatory framework for AI/ML-based SaMDs; </li><li>Good machine learning practices (GMLPs); </li><li>Patient-centered approach incorporating transparency to users; </li><li>Regulatory science methods related to algorithm bias and robustness; and </li><li>Real-world performance (RWP).  </li></ol>The FDA stated that it will update its regulatory framework and publish a draft guidance in 2021, actively engage in efforts to harmonize GMLPs, hold public workshops on device labeling for transparency to users, develop methodology for evaluating and improving machine learning algorithms (including identifying and eliminating bias), and develop a framework for gathering and validating RWP. Although the AI/ML Action Plan is recent, the FDA has not yet taken any steps to implement any of these focus areas for policy development or clarification.<h4>The FDA’s Approval of AI/ML-Based SaMDs</h4>Since 2012, the FDA has approved over 160 medical AI/ML-based SaMDs, the majority being in 2019 and 2020. Some <a target="_blank" href="https://www.statnews.com/2021/02/03/fda-artificial-intelligence-clearance-products/">reports</a> have found, upon investigation, that the requirements the FDA has imposed on device submission have been inconsistent. For example, some submission sponsors disclosed the amount of patient data used to validate the performance of their devices while others did not. And, according to one investigative <a target="_blank" href="https://www.statnews.com/2021/02/03/fda-clearances-artificial-intelligence-data/">report</a>, when disclosed, the amount of data varied widely from 100 patients on one end of the spectrum to 15,000 patients on the other end. Only a handful of manufacturers reported racial makeup of the study populations and a few provided gender breakdown. This creates uncertainty as to how effective the AI/ML-based SaMDs will perform with respect to algorithmic bias. Additionally, the FDA has not made training and testing data for these approved AI/ML-based SaMDs publicly available, potentially creating a lack of trust in these technologies or, at the very least, making it difficult for purchasers of the SaMDs to make informed decisions based on similar evidence criteria. However, perhaps most importantly, the FDA has yet to figure out how to handle real-world leaning and adaptation within the regulatory framework. Although the FDA clearly aims for increased regulation and monitoring of AI/ML-based SaMDs, it has not provided a specific plan for any of the five focus areas identified in its AI/ML Action Plan. The FDA may need to act much quicker in developing consistent standards as the number of AI/ML-based SaMDs submissions to the FDA continue to increase (from two products in 2012 to 70 products in 2019). The FDA should address stakeholder concerns of data and approval process inconsistencies, lack of well-established standards, transparency, labeling challenges, trustworthiness, algorithmic biases, and RWP. ConclusionThe FDA is slowly taking steps towards its commitment to develop a regulatory framework for AI/ML-based SaMDs. For now, the FDA has not yet provided any consistent standards. Without such widely-applicable guidance, manufacturers should expect a longer application timeline and extensive discussions with the FDA—in effect creating a customized plan for data and evidence generation for each and every AI/ML SaMD. It is unpredictable at this stage what the FDA will require and ask for in these negotiations, although to some extent prior submissions and authorizations serve as a baseline for consideration. As artificial intelligence and machine learning technologies are increasing in availability and applicability, organizations and device sponsors will continue to build their own databases and define their own standards, which the FDA may be strategically waiting for.

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