Pathos AI Secures $365M for AI Drug Development

Pathos AI Secures $365M for AI Drug Development
Pathos AI Secures $365M for AI Drug Development

Pathos AI is a fast-growing biotech company using artificial intelligence to develop new cancer treatments. It has currently secured $365 million in Series D funding. This brings the company’s total valuation to $1.6 billion, marking a big step forward in healthcare technology and the use of AI in healthcare.

The new funding will help Pathos AI speed up and improve its drug development efforts, especially in the area of oncology (cancer treatment).

It will also support the growth of the company’s custom-built AI Foundation Model, designed to accelerate and enhance the precision of cancer drug development.

Pathos AI Drug Development

Building the Future of AI in Healthcare

Pathos AI is now working on what could become the largest AI foundation model for oncology. This model will use a combination of data types—like clinical records, molecular data, and medical images—to help:

  • Choose the best treatment options to develop
  • Design smarter clinical trials
  • Discover new biomarkers (which help predict how patients will respond to treatment)
  • Drive innovation in cancer therapy

A New Era in Healthcare Technology

Iker Huerga, CEO of Pathos AI
Iker Huerga, CEO of Pathos AI

“Our goal is to change the way cancer drugs are developed by using AI and large, complex medical data,” said Iker Huerga, CEO of Pathos AI. 

“With this new funding, we’re creating one of the most advanced AI systems in healthcare, to make sure patients get the right treatments faster.”

Interested? Also read Must-Know AI in Healthcare Statistics

What Makes Pathos AI Different?

Pathos was founded to bring a new approach to drug development. By combining AI in healthcare with real clinical experience and deep medical insights, the company aims to accelerate the transition from research to real treatments more quickly than ever before.

Their platform represents a powerful blend of healthcare technology and human expertise, focused on delivering better outcomes for patients worldwide.

A Unified Vision for AI in Healthcare

While Pathos AI is pushing the boundaries of AI in healthcare for drug development, HosTalky is simultaneously driving innovation in how healthcare professionals communicate and collaborate with AI-driven communication tools.

HosTalky is an AI-powered platform, is designed to simplify communication within healthcare teams, ensuring that professionals can connect quickly and securely across devices. 

HosTalky’s Impact on Healthcare Communication

HosTalky allows healthcare teams to stay in sync, whether they’re in a hospital, clinic, or working remotely. The platform facilitates:

  • Instant Messaging & Group Communication: Ensuring that healthcare teams can discuss patient care and treatment strategies without delay.
  • Smart Voice Support: Allowing for hands-free, real-time assistance while on the move.
  • AI-Powered Answer Hub: Providing quick, reliable answers to complex medical queries, which can be critical in fast-paced healthcare environments.
  • Secure Communication: With privacy-first technology, HosTalky’s communications are protected, keeping sensitive patient information confidential and secure.

Read more about HosTalky’s features.

A Collaborative Future

Both Pathos AI and HosTalky share a commitment to improving healthcare through the power of AI. While Pathos accelerates oncology drug development, HosTalky is streamlining healthcare communication, making it easier for teams to work together and make faster, data-informed decisions. 

Together, these two innovative platforms are helping to reshape the future of healthcare, where AI in healthcare isn’t just about technology, but about creating a connected, patient-centered ecosystem.

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By Hanna Mae Rico

I have over 5 years of experience as a Healthcare and Lifestyle Content Writer. With a keen focus on SEO, and healthcare & patient-centric communication, I create content that not only informs but also resonates with patients. My goal is to help healthcare teams improve collaboration and improve patient outcomes.

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