AI Articles and Analysis about Drug discovery

In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.

Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences-1-min
Business intelligence and analytics
Healthcare
Customer analytics
Pharma
Data analysis
Data auditing
Data collection
Data integration
Data management
Discovery
Drug discovery
Generative AI
Knowledge management
Large Language Models
model development
Natural Language Processing
Predictive analytics and forecasting
Research and development

Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences – with Daniel Ferrante of Deloitte

Far beyond surface-level 'chatbot' software, and other customer-facing support systems, the same generative AI (GenAI) capabilities having direct impacts across language workflows in front-office tasks in financial and legal services is also having a direct impact on how research teams in the life sciences space are targeting solutions for rare diseases and novel treatments. 
Header graphics – Sanofi-1-min
Discovery
Chemicals
Drug discovery
Healthcare
Machine learning infrastructure
Heavy industry
Research and development
Manufacturing
Pharma

Artificial Intelligence at Sanofi

Sanofi is a global healthcare and pharmaceutical company. Founded in 1973, it aims to unlock and maximize the potential of critical medicines, vaccines, and self-care solutions for individuals. It accomplishes this across four global business units: Specialty Care, Vaccines, General Medicines, and Consumer Healthcare. 
AI Opportunities for
Life Sciences R&D-1
"Clinical support
Healthcare
Automation and robotics
Pharma
Business intelligence and analytics
Claim management
Compliance
Customer analytics
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Discovery
Drug discovery
Enterprise resource planning
Generative AI
Large language models
Large Language Models
Marketing and advertising
Predictive analytics and forecasting
Research and development
Risk management

AI Opportunities for Life Sciences R&D – with Andrew Bolt of Deloitte

This interview analysis is sponsored by Deloitte and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
final-updated-Approaching Life Sciences and Retail Challenges from a Data Perspective – with Alberto Rizolli of V7
Automation and robotics
Consumer goods
Conversion optimization
Healthcare
Customer analytics
Pharma
Data auditing
Professional services
Data collection
Retail
Data management
Retail
Demand generation
Document processing
Drug discovery
Generative AI
Industrial automation
Large language models
Large Language Models
Logistics
Marketing and advertising
model development
Natural Language Processing
Research and development
Supply chain management

Approaching Life Sciences and Retail Challenges from a Data Perspective – with Alberto Rizzoli of V7

Problems in different industries can look quite similar when looked at from the perspective of data. Though diverse business problems originate from distinct domains and needs, they often share a common thread and solution. 
AI at Takeda@1x-min
Automation and robotics
Business intelligence and analytics
Data analysis
Data collection
Data management
Document processing
Drug discovery
Industrial automation
Logistics
Machine learning infrastructure
Predictive analytics and forecasting
Report generation
Research and development
Supply chain management

Artificial Intelligence at Takeda Pharmaceuticals

Takeda Pharmaceuticals is a 240-year-old, leading biopharmaceutical company headquartered in Tokyo, Japan, with a global hub in Cambridge, Massachusetts. The company has a global presence, operating in more than 80 countries across North America, Europe and Asia.
Future of Drug Targeting – Lilly @2x-1-min
Business intelligence and analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data entry
Data integration
Data management
Discovery
Drug discovery
Ediscovery
Knowledge management
Machine learning infrastructure
Process automation
Research and development
Text analysis

The Future of Drug Targeting and Clinical Development with Generative AI Tools – with Ramesh Durvasula of Eli Lilly

Lily is a pharmaceutical giant with a legacy dating back to its founding in 1876 by Colonel Eli Lilly. The company engages more than 9600 employees in research and development, with clinical research conducted in more than 55 countries. As of 2022, the company clocked a revenue of $28,541.4 million and made a net income of $6,244.8 million. 
AI at GSK@2x-min
Data collection
Data integration
Data management
Drug discovery
Knowledge management
Machine learning infrastructure
Research and development

Artificial Intelligence at GSK

GlaxoSmithKline (GSK) is a multinational pharmaceutical company headquartered in Brentford, UK. The company operates in over 150 countries. GSK offers a wide range of pharmaceutical products, vaccines, and consumer healthcare products, including over-the-counter medications, oral care and nutritional products.
AI at McKesson@2x-min
Automation and robotics
Business intelligence and analytics
Case management
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data collection
Data entry
Data management
Drug discovery
Industrial automation
Industrial control system
Intelligent assistant
Knowledge management
Predictive analytics and forecasting
Process automation
Report generation
Research and development

Artificial Intelligence at McKesson – Three Use Cases

Founded in 1833 and headquartered in Irving, Texas, since 2019, McKesson is a leading distributor of pharmaceuticals and medical supplies. They also provide health information technology and care management tools.

Drug discovery

In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.