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Embracing the Contact Sport of Innovation

AsianScientist (Apr. 25, 2019) – No two people are the same, yet many of our treatments for serious diseases fail to see the patient as an individual. Because of this, many therapies work sub-optimally, or patients experience side effects. By delivering the right amount of drugs to the right location at the right time, we…

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Embracing the Contact Sport of Innovation

Key takeaways

01

25, 2019) – No two people are the same, yet many of our treatments for serious diseases fail to see the patient as an individual.

02

Because of this, many therapies work sub-optimally, or patients experience side effects.

03

By delivering the right amount of drugs to the right location at the right time, we…

AsianScientist (Apr. 25, 2019) – No two people are the same, yet many of our treatments for serious diseases fail to see the patient as an individual. Because of this, many therapies work sub-optimally, or patients experience side effects. By delivering the right amount of drugs to the right location at the right time, we can enhance treatment outcomes and improve the lives of patients, and I believe that we can achieve these goals with nanotechnology.

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

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

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.
  • 02Big Pharma is engaging in an aggressive cycle of mergers and acquisitions.
  • 03The acquisitions are reshaping the life sciences supply chain.

Jun 29, 2026

Quotient Sciences launches Phase I study of what it calls the first AI-formulated drug in the clinic

Quotient Sciences launches Phase I study of what it calls the first AI-formulated drug in the clinic

Quotient Sciences has initiated a Phase I clinical study at its UK facility for an oral solid dose formulation designed using artificial intelligence — what the company believes is the first AI-formulated drug to reach human clinical evaluation. The study, cleared by the UK's Medicines and Healthcare products Regulatory Agency, will assess safety and pharmacokinetics in healthy volunteers. The program, which used Intrepid Labs' machine learning algorithm, signals a broader shift in how contract drug development organizations are integrating AI across formulation and clinical workflows.

  • 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.

Jun 17, 2026

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.

Jun 17, 2026

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