UK Biotech Startup Develops Novel Immunotherapy Using AI Technology

One sentence summary – UK-based biotech startup Etcembly has used generative AI technology to develop a novel immunotherapy, ETC-101, targeting challenging cancers, marking the first successful AI-generated immunotherapy candidate; however, a study published in JAMA Oncology has raised concerns about the reliability and accuracy of AI-generated cancer treatment plans, highlighting the need for caution and the importance of consulting human professionals for medical advice.

At a glance

  • UK-based biotech startup Etcembly has used generative AI technology to create a novel immunotherapy, ETC-101.
  • ETC-101 is designed to target challenging-to-treat cancers.
  • This is the first successful development of a potential immunotherapy candidate using AI.
  • A recent study in JAMA Oncology highlights the risks and limitations of AI-generated cancer treatment plans.
  • ChatGPT, an AI language model, contained factual errors and inconsistencies in its treatment recommendations.

The details

UK-based biotech startup Etcembly has leveraged generative AI technology to create a novel immunotherapy, ETC-101.

This immunotherapy is designed to target challenging-to-treat cancers.

This development marks the first time AI has successfully developed a potential immunotherapy candidate.

This achievement showcases the potential of AI in accelerating drug development.

However, a recent study published in JAMA Oncology has highlighted the risks and limitations of AI-generated cancer treatment plans.

The study focused on an AI language model called ChatGPT, which provides treatment recommendations.

The research revealed that ChatGPT contained factual errors and inconsistencies.

These findings raise questions about the reliability of AI in critical situations such as advanced cancer cases and the use of immunotherapy drugs.

The study found that around one-third of ChatGPT’s responses contained incorrect information.

This makes it challenging for specialists to identify and rectify these errors.

The study also found that approximately 12.5% of ChatGPT’s treatment recommendations were entirely fabricated or hallucinated.

This raises serious concerns about the reliability and accuracy of AI-generated treatment plans.

OpenAI, the organization behind ChatGPT, has stated that the model is not intended to provide medical advice for serious health conditions.

Patients are strongly advised to exercise caution when considering medical advice solely from AI sources.

Patients should always consult human professionals who possess the necessary expertise and experience.

This development highlights the importance of balancing the potential of AI in healthcare with ensuring patient safety through rigorous validation processes.

While AI has shown promise in accelerating drug development and contributing to medical advancements, it is crucial to thoroughly validate and verify AI-generated treatment plans.

This is to avoid potential risks and inconsistencies.

Etcembly’s use of generative AI to design the immunotherapy ETC-101 is a significant breakthrough.

However, the JAMA Oncology study underscores the need for caution when relying solely on AI-generated treatment recommendations.

Patients should always seek guidance from human professionals and exercise prudence when considering AI-based medical advice.

Striking the right balance between utilizing AI’s potential and maintaining patient safety will be pivotal in harnessing the benefits of AI in healthcare.

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nftevening.com
– UK-based biotech startup Etcembly has used generative AI to design an immunotherapy called ETC-101 that targets challenging-to-treat cancers.
This is the first time AI has developed an immunotherapy candidate, showcasing its potential to accelerate drug development.
A study published in JAMA Oncology highlights the limitations and risks of relying solely on AI-generated cancer treatment plans.
The study found that an AI language model called ChatGPT, which provides treatment recommendations, contained factual errors and inconsistencies.
– Approximately one-third of ChatGPT’s responses contained incorrect information, making it challenging for specialists to spot errors.
– 12.5% of ChatGPT’s treatment recommendations were entirely fabricated or hallucinated, raising concerns about its reliability in advanced cancer cases and the use of immunotherapy drugs.
– OpenAI, the organization behind ChatGPT, explicitly states that the model is not intended to provide medical advice for serious health conditions.
– Patients are advised to be cautious of medical advice from AI and to always consult human professionals.
– It is important to strike a balance between harnessing AI’s potential in healthcare and ensuring patient safety through rigorous validation processes.

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