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Ben Hsing


Venable, LLP

Ben Hsing is partner in the New York City office of Venable LLP. He is an accomplished trial lawyer with significant experience litigating patents across a broad range of technologies, including pharmaceutical compounds and formulations, telecommunication cables, treatment methods, genetically engineered seeds, medical devices, memory chips, light switches, imaging devices, and pet products. He has secured favorable results for major pharmaceutical and technology companies in numerous high-profile cases.

Recent Articles by Ben Hsing

Patent Basics: Practice Tips for Achieving Success in Inter Partes Reviews

Inter partes review (IPR) is a legal process conducted before the Patent Trial and Appeal Board (PTAB) to assess patentability based on anticipation or obviousness using prior art publications and patents. Congress established IPR to offer an efficient alternative to litigating patent disputes before the district courts. This article discusses some practice tips for both challenging and defending patents in IPRs before the PTAB.

Artificial Intelligence in Drug Development: Patent Considerations

Artificial intelligence (AI) is a field of computer science that creates software or models that mimic human reasoning or inference. Machine learning is a subset of AI which uses algorithms trained on massive amounts of data to allow the computer to learn with gradually improving accuracy without explicitly being programmed. The biopharmaceutical and healthcare fields produce massive amounts of data, including properties and characteristics of drug compounds, biological, genomic, and clinical data, efficacy of treatments, adverse events and risks, and electronic health records. The data may come from many sources, both public and proprietary. AI systems trained on such data can streamline and optimize the drug development process, including drug discovery, diagnosing diseases, identifying treatments and risks, designing clinical trials, and predicting safety and efficacy profiles, leading to increasing efficiency and reducing costs.