Exclusive Content:

Haiper steps out of stealth mode, secures $13.8 million seed funding for video-generative AI

Haiper Emerges from Stealth Mode with $13.8 Million Seed...

Running Your ML Notebook on Databricks: A Step-by-Step Guide

A Step-by-Step Guide to Hosting Machine Learning Notebooks in...

“Revealing Weak Infosec Practices that Open the Door for Cyber Criminals in Your Organization” • The Register

Warning: Stolen ChatGPT Credentials a Hot Commodity on the...

Protocol AI by Risklick Launched

Protocol AI: Revolutionizing Clinical Trial Protocol Development with Artificial Intelligence

The future of clinical trials is here, and it is in the form of Protocol AI. Developed by Risklick, a spin-off from the University of Bern, Protocol AI is a groundbreaking artificial intelligence tool that is set to revolutionize the way clinical trial protocols are drafted. With the ability to generate protocols within minutes, Protocol AI is set to accelerate the development of clinical trials, reduce costs, and increase safety standards.

The traditional process of developing a new protocol for a clinical trial is a time-consuming and labor-intensive task. It involves mining through a vast number of diverse clinical trial registries, which can take up to 12 months of intensive work. Any slight error in the protocol can lead to disastrous consequences, affecting the success of the trial and the safety of the participants.

Protocol AI aims to change all that. By using artificial intelligence to analyze existing clinical data and optimize their selection and integration through Natural Language Processing, Protocol AI is able to automatically draft clinical trial protocols within minutes. This not only drastically reduces the development time and costs of clinical trials but also ensures the quality and increases the chances of success.

The potential impact of Protocol AI on the medical and pharmaceutical industries is significant. With partners like Debiopharm and Integrated Scientific Services already on board, Protocol AI is set to become an essential tool for those involved in the development of new therapies. By accelerating the delivery of innovative treatments, improving trial designs, and ensuring robust compliance, Protocol AI is poised to revolutionize the way new therapies are developed and brought to market.

The technological innovation of Protocol AI is not lost on industry experts, with Advanced Clinical also recognizing its transformative capabilities. By minimizing AI distortions and extracting validated data from diverse registries, Protocol AI has the power to revolutionize clinical trial design and enhance industry access to accurate therapeutic data.

In conclusion, Protocol AI is set to change the landscape of clinical trials forever. By harnessing the power of artificial intelligence to streamline the protocol drafting process, Protocol AI is paving the way for faster access to therapies, reduced costs, and increased safety standards. The future of clinical trials is here, and it is looking brighter than ever thanks to Protocol AI.

Latest

Reinforcement Fine-Tuning for Amazon Nova: Educating AI via Feedback

Unlocking Domain-Specific Capabilities: A Guide to Reinforcement Fine-Tuning for...

Calculating Your AI Footprint: How Much Water Does ChatGPT Consume?

Understanding the Hidden Water Footprint of AI: Balancing Innovation...

China’s AI² Robotics Secures $145M in Funding for Model Development and Humanoid Robot Enhancements

AI² Robotics Secures $145 Million in Series B Funding...

Don't miss

Haiper steps out of stealth mode, secures $13.8 million seed funding for video-generative AI

Haiper Emerges from Stealth Mode with $13.8 Million Seed...

Running Your ML Notebook on Databricks: A Step-by-Step Guide

A Step-by-Step Guide to Hosting Machine Learning Notebooks in...

VOXI UK Launches First AI Chatbot to Support Customers

VOXI Launches AI Chatbot to Revolutionize Customer Services in...

Investing in digital infrastructure key to realizing generative AI’s potential for driving economic growth | articles

Challenges Hindering the Widescale Deployment of Generative AI: Legal,...

A Comprehensive Family of Large Language Models for Materials Research: Insights...

References in Materials Science and Natural Language Processing This section includes a comprehensive list of references related to the intersection of materials science and natural...

Analysis of Major Market Segments Fueling the Digital Language Sector

Exploring the Rapid Growth of the Digital Language Learning Market Current Market Size and Future Projections Key Players Transforming the Language Learning Landscape Strategic Partnerships Enhancing Digital...

NLP Market Set to Reach USD 239.9 Billion

Natural Language Processing (NLP) Market Projected to Reach USD 239.9 Billion by 2032, Growing at a 31.3% CAGR: Key Insights and Trends The Booming Natural...