AI In Speeding Drug Discovery Market Hit Stunning Double Digit CAGR +40% With Renowned Key Players Cloud Pharmaceuticals, Inc., BlackThorn Therapeutics.

The AI in Speeding drug discovery is attractive for drug discovery because it applies the rapid and massive number-crunching capabilities of 21st-century computing technologies, such as machine learning, to data comparison and analysis in the way the human brain would, but in a fraction of the time. In complex drug discovery, AI has the potential to make processes faster and more cost-effective, with the hope of reducing the time a new drug needs to reach the patient. ... In the current pandemic, AI has been successfully used to identify potential drugs that could be used to treat Covid-19.

The global AI in Drug Speeding market is projected to reach USD 1,434 million by 2027 from USD 259 million in 2027, at a CAGR of +40% during the forecast period 2021 to 2027.

Artificial intelligence in Pharma refers to the use of automated algorithms to perform tasks that traditionally rely on human intelligence. Over the last five years, the use of artificial intelligence in the pharma and biotech industry has redefined how scientists develop new drugs, tackle the disease, and more.
MIT researchers have developed a machine learning-based technique to more quickly calculate the binding affinity of a drug molecule (represented in pink) with a target protein. The approach yields precise calculations in a fraction of the time compared to previous state-of-the-art methods.
Key Players-
Cloud Pharmaceuticals, Inc.
BlackThorn Therapeutics
BioSymetrics
Cyclica
GNS Healthcare
Exscientia.
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Global AI In Speeding Drug Discovery Market Segmentation
By Drug Type
Small Molecules
Large Molecules
By Application
Oncology
Infectious Diseases
Neurological Disorders
Rare Diseases
Metabolic Diseases
Cardiovascular Diseases
Others
By End-User
Pharmaceutical & Biotechnology Companies
Contract Research Organizations
Academics & Research
Others
By Offering
Software
Services
By Technology
Machine Learning
Other Technologies
By Region
North America
Europe
Asia Pacific
Latin America
Middle East & Africa
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Many well-established companies in the pharmaceutical sector are taking advantage of AI platforms for enhancing target identification and validation. AI models assist in accelerating clinical trials and understanding diseases more clearly.
Below are some of the major companies collaborating with AI in Speeding drug discovery development:
• AstraZeneca recently collaborated with Mila, a machine learning company for maximizing its potential in drug discovery and development
• Optellum, a lung-health AI firm partnered with Johnson & Johnson's Lung Cancer Initiative to use its AI-based clinical decision support platform for accelerating developments in lung cancer treatment
Geographically, the global AI In Speeding Drug Discovery Market analysis is done for North America, Europe, Asia-Pacific, and the Rest of the World. In terms of revenue share North America currently leads the global market and is expected to remain constant during the forecast period. However, the supremacy of North America will be evidently challenged by the Asia-Pacific market.

Table of Contents:
Chapter 1: World AI In Speeding Drug Discovery Market Overview
Chapter 2: Market Data Analysis
Chapter 3: Technical Data Analysis
Chapter 4: Government Policy and News
Chapter 5: World Deep AI In Speeding Drug Discovery Market Manufacturing Process
and Cost Structure
Chapter 6: Productions Supply Sales Demand Market Status and Forecast
Chapter 7: Key Manufacturers
Chapter 8: Up and Down Stream Industry Analysis Art Supplies
Chapter 9: Marketing Strategy
Chapter 10: 2021-2027 World AI In Speeding Drug Discovery Market Development Trend
Analysis
Chapter 11: New Project Investment Feasibility Analysis

Rebecca Parker
(Report Consultant)
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