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Part 1: The Nature of Learning with Hunter Gabbard

On today’s podcast, I have a discussion with Hunter Gabbard from the LIGO Scientific Collaboration. We talk about the nature of human learning, how machine learning can accelerate that process exponentially, and how machines can help us filter (and possibly understand) some of the most interesting sounds in the universe.

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By Sciences · Featured Podcast
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On today’s podcast, I have a discussion with Hunter Gabbard from the LIGO Scientific Collaboration.

02

We talk about the nature of human learning, how machine learning can accelerate that process exponentially, and how machines can help us filter (and possibly understand) some of the most interesting sounds in the universe.

On today’s podcast, I have a discussion with Hunter Gabbard from the LIGO Scientific Collaboration. We talk about the nature of human learning, how machine learning can accelerate that process exponentially, and how machines can help us filter (and possibly understand) some of the most interesting sounds in the universe.

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Biopharma's $300 Billion Problem Is Driving the Biggest M&A Cycle in a Decade

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The pharmaceutical industry is facing a significant challenge as over $300 billion in branded pharmaceutical revenue is set to lose patent protection by 2030. This revenue gap is driving the largest merger and acquisition cycle seen in a decade, with companies seeking external growth through acquisitions. This shift is impacting the entire life sciences supply chain, prompting strategic changes across the industry.

  • 01Over $300 billion in pharmaceutical revenue is at risk due to patent expirations by 2030.
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Quotient Sciences launches Phase I study of what it calls the first AI-formulated drug in the clinic

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  • 01Quotient Sciences initiated a Phase I study of an AI-designed oral solid dose formulation at its UK facility following MHRA approval — the first such case the company believes has been reported.
  • 02The formulation was developed using Intrepid Labs' advanced machine learning algorithm in combination with Quotient Sciences' Translational Pharmaceutics platform.
  • 03The milestone is part of a broader CRDMO strategy to embed AI-enabled approaches across formulation development and clinical workflows, with implications for the wider contract pharma sector.

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Quotient Sciences launches Phase I trial of what it calls the first AI-formulated drug to reach the clinic

Quotient Sciences launches Phase I trial of what it calls the first AI-formulated drug to reach the clinic

Quotient Sciences has initiated a Phase I clinical study of an oral solid dose formulation designed using AI, cleared by the UK's MHRA and conducted at the company's UK facility. The trial—built on machine learning algorithms from partner Intrepid Labs and Quotient's Translational Pharmaceutics platform—aims to validate AI as a direct contributor to formulation design rather than just an upstream analytical tool. Benchling characterizes the broader moment as biotech entering a "builder phase," in which leading organizations embed AI capability at the bench level rather than running isolated pilots.

  • 01Quotient Sciences has dosed healthy volunteers in a Phase I study it describes as the first clinical evaluation of an AI-designed oral formulation, following approval from the UK's MHRA.
  • 02The formulation was developed using advanced machine learning algorithms from Intrepid Labs, integrated with Quotient Sciences' Translational Pharmaceutics platform.
  • 03Benchling identifies a sector-wide shift toward embedding AI capability directly at the bench, moving beyond isolated pilots to structural adoption across biotech R&D.

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