Drug Development
Use data science and AI in the research and development of new drugs.
AI in Pharma
AI in the Pharma Industry
We help companies in the pharmaceutical industry effectively use Data and AI to improve products and services, optimize processes, and identify new business models.
Trusted by Industry LEaders
Your Experts for Artificial Intelligence in Pharma
Accelerating Drug Development with AI in Pharma
The use of Artificial Intelligence (AI) in pharma is revolutionizing numerous areas and processes, including drug development. Pharmaceutical companies, which have relied on statistical methods for years, now benefit from the opportunities offered by data science and machine learning. AI helps researchers develop new drugs and therapies faster and more efficiently by analyzing large datasets and identifying new target molecules. Pharma AI programs impressively demonstrate how AI can assist in tumor detection or predict the three-dimensional structure of proteins, tasks that were previously possible only with significant experimental effort. By applying AI in pharma, companies can significantly reduce development times and costs while simultaneously increasing the success rate of new drugs.
In addition to accelerating drug development, AI enables pharmaceutical companies to plan and conduct clinical trials. With the right algorithms, patient groups can be selected more precisely, and potential side effects can be detected earlier by AI in pharma. This leads to higher safety and effectiveness of the drugs. Integrating AI in pharma not only provides economic benefits but also significantly improves patient care. AI in pharma allows comprehensive analysis of patient data and the creation of personalized treatment plans, leading to better health outcomes.
Let’s optimize your drug development together. Schedule an AI consultation or data science consulting session to discover and leverage the potential of AI in pharma.
Use cases of data science and AI in pharma
Active Ingredient Production
With data science and AI you increase the efficiency and transparency of your production processes.
KPI and Sales Forecasts
Make decisions based on reliable forecasts of your sales and other KPIs such as costs, liquidity or EBIT.
Quality Control
Control and optimize the quality of your products using data and AI.
Personalized Marketing
Increase the effectiveness of your advertising by placing personalized ads.
Predictive Maintenance
Prevent machine or vehicle failures by detecting defects and maintenance requirements at an early stage.
Anomaly Detection
Automatically detect patterns and anomalies in your process and machine data of your production lines
Supply Chain Management
Optimize your order, inventory and production management based on demand and supply forecasts.
AI Pharma: Increasing Efficiency in Research and Development
Data Science & AI in Pharma offer enormous potential for increasing efficiency in research and development. By using AI in pharma, companies can make their processes in drug discovery and study planning much more efficient and cost-effective. Analyzing and optimizing process and production workflows through AI in pharma leads to significant time and cost savings. Another advantage is the ability to analyze large and complex datasets, which are essential for developing new drugs and therapies.
Through advanced AI pharma technologies, pharmaceutical companies can not only optimize their internal processes but also unlock new innovation potentials, such as analyzing drug interactions. By analyzing real-time data from production facilities, failures can be detected and avoided early. As a result, Pharma AI leads to better resource utilization and increased productivity.
Learn more about how pharma can benefit from data science and AI and how to successfully leverage the advantages of Pharma AI. This requires, among other things, comprehensive AI training. statworx offers customized AI training tailored to the specific needs of your company and different roles, teams, and departments. With training programs like our AI & Data Literacy Training, your employees will learn how to effectively use AI pharma tools and techniques to maximize the benefits for your company. Whether a beginner or an AI & pharma specialist, we train people of all skill levels in dealing with data and AI.
Eine durchdachte KI-Strategie ermöglicht es Unternehmen, ihre spezifischen Ziele klar zu definieren, Anwendungsbereiche zu identifizieren und den Einsatz von KI-Technologien gezielt zu steuern. So wird sichergestellt, dass sämtliche KI-Initiativen auf die übergeordneten Unternehmensziele abgestimmt sind und eine solide Infrastruktur, verlässliche Datenbasis sowie das notwendige Fachwissen vorhanden sind. Eine strategische Planung minimiert Risiken, steigert die Akzeptanz und legt den Grundstein für nachhaltigen Erfolg mit KI.
Unsere Beratung zur KI-Strategie bildet das Fundament für die datengetriebene und KI-basierte Transformation Ihres Unternehmens. Gemeinsam erarbeiten wir, wie Sie die Transformation strategisch umsetzen und die erfolgversprechendsten Einsatzmöglichkeiten für Ihr Unternehmen auswählen können.
Optimized Liquidity thanks to Forecasting Engine
Inaccurate liquidity forecasts hampered the creation of effective financial strategies for our client. Our forecasting engine, which generates predictions for a variety of liquidity time series, significantly increases the accuracy and speed of forecasts, enabling substantial cost savings.
More
AI Use Case Workshop
In this project, we collaborated with our client, an international pharmaceutical and healthcare corporation, to plan and implement a series of AI use case workshops.
More
Covid Research Support with NLP
In this project, a solution was developed to facilitate the organization-wide research of SARS-CoV-2 by automating the analysis of documents using NLP.
More
Quality Analysis in Endoprosthetics
In this project, we evaluated a long-term study on the quality and efficacy of a permanently implanted device for an international medical devices corporation.
More
Limit of Detection Analysis Medical Devices
In this project, we tested and compared the detection limits for mycoplasma across various devices for a European company.
More
Financial Analyst ML Training
With a tailored training program for aspiring financial analysts, we supported our client in the pharmaceutical sector in designing and implementing a major training initiative for the use of data visualization and predictive analytics.
More
Data Product Operationalization
In this project, we developed various deployment scenarios for an existing forecasting model of our client.
More
OpsModel Scaling Concept
To enable our client to efficiently scale their growing data science initiative, we developed an operational model perfectly tailored to their needs.
More
Faster and more precise automated tumor detection
A computer vision model automatically determines the precise extent of brain tumors in MRI images to refine and accelerate therapeutic decisions.
More
AI & Data Literacy Training
To prepare the employees of a world-leading pharmaceutical company for the challenges and opportunities of the data and AI revolution in the workplace, we designed a twelve-hour specialized training on data literacy and AI fundamentals.
More
Efficiency improvement in Software Development using Generative AI
To reduce the effort required for data integration, we developed a language model for our client that can better search existing programming code and generate suggestions.
More
Efficiency Improvement through automated Extraction of Data from PDF Documents
In this project, AI enabled the automated extraction of relevant data from PDF documents of clinical studies, resulting in a 500-fold increase in speed, more precise results, and a significant reduction in manual effort.
More
Personalized Employee Development using Generative AI
An interactive chatbot based on OpenAI GPT-3 supported the introduction of a new agile framework and increased its acceptance and usage within the company.
More
AI-Based Detection of Drug Interactions
We developed an approach to use causal machine learning to analyze complex drug-drug interactions in heterogeneous patient populations and identify potential safety signals.
More
Implementation of an Image Prompting Challenge in the pharmaceutical sector
We developed a customised, interactive solution for a pharmaceutical company that wanted to train its employees in the use of generative AI and encourage their creativity and critical thinking.
More
Improving Data Quality with interactive Challenges
An innovative training by statworx improved the understanding of data quality among the employees of a pharmaceutical company, thereby helping to establish a culture of data excellence.
More
Intelligent event analysis and information retrieval with AI
Our client was looking for a solution to extract important events from long, unstructured reports at their worldwide locations. We developed a powerful search system that seamlessly integrates into existing workflows and significantly optimizes information processing.
More
Data Strategy for a leading German hospital
Our client, one of the leading German clinics, wanted to optimize its existing data landscape, which was characterized by a fragmented system landscape, low digital maturity, and lack of user orientation. We developed and implemented a comprehensive data strategy and a data roadmap to sustainably improve data-related processes and technological foundations.
More
Enhancing Operational Performance through Anomaly Detection and Predictive Maintenance
We developed a model for our customer to minimize machine downtime and increase production efficiency. Early anomaly detection results in predictive maintenance, which saves costs and reduces unplanned downtime.
More
Our strength
Our ecosystem enables a holistic view of data & AI.
Learn more
Tools, Partner & Technology
10+
years of experience in Data Science, ML, and AI
100+
clients from 10 industries and growing
85+
experts from more than 17 fields of study
1,000+
successfully implemented Data and AI projects
Our services
AI Consulting
Our consulting services focus on both technical and methodological skills, data literacy, and data culture, utilizing interactive and inspiring learning methods. We provide training for beginners, specialists, and executives.
Learn more
AI Starter Offerings
Are you just beginning your data and AI journey? We offer various workshops, training sessions, and ready-to-use AI solutions that are perfect for taking the first steps with data science and AI.
Learn more
AI Solutions
We develop data science and AI solutions tailored to your requirements. We support you from the initial idea to the productive solution and ensure smooth operation thereafter.
Learn more
AI Trainings
Whether technical or methodological skills, data literacy, or data culture - our formats rely on interactive and inspiring learning methods. We train beginners, specialists, and executives.
Learn more
Pharma & AI: Personalized Treatment and Marketing
Pharma AI enhances the monitoring and management of supply chains in the pharmaceutical industry in various ways, leading to a safer and more reliable provision of medications. By using AI-driven systems, pharmaceutical companies can analyze real-time data from various sources, such as sensors in warehouses and transport vehicles. Pharma AI systems continuously monitor temperature, humidity, and other critical factors to ensure that medications are stored and transported under optimal conditions, significantly reducing the risk of spoilage or quality loss.
Additionally, Pharma AI aids in demand forecasting and optimizing inventory management. By analyzing historical sales data, seasonal trends, and other relevant variables, AI can create accurate forecasts of when and where specific medications will be needed. This leads to a reduction in overstock and shortages, which in turn lowers costs and increases the efficiency of the entire supply chain.
Integrating Pharma AI into supply chain management also enables the early detection and resolution of potential bottlenecks or disruptions. Pharma AI algorithms can identify anomalies or patterns indicating problems and suggest proactive measures to prevent them. This improves the resilience of the supply chain and ensures that medications are reliably and timely delivered to patients.
Overall, integrating Pharma AI contributes to increased efficiency and transparency in pharmaceutical supply chains. By automating and optimizing these processes, costs are reduced, the availability and quality of medications are improved, and ultimately, patient healthcare is enhanced.
Learn more about how to develop a successful AI strategy for your pharmaceutical company and benefit from our extensive experience in over 500 projects. Our AI consultants look forward to working with you.
Contact your experts for AI in the pharma industry
01
Free consultation
Discuss your challenges and goals in the area of Data & AI with us.
02
Tailored offer
Receive a customized and transparent offer.
03
Presentation & contract award
We present our approach to all relevant stakeholders.
04
Onboarding with project team
Our dedicated project team takes care of your needs.
Frequently asked questions and answers
How can AI accelerate drug development in the pharmaceutical industry?
AI revolutionizes drug development by analyzing large datasets and identifying new target molecules. This enables the faster and more efficient development of new drugs and therapies, significantly reducing development times and costs.
What advantages does AI offer in conducting clinical trials?
AI allows for more precise selection of patient groups and early detection of potential side effects. This leads to safer and more effective medications, offering both economic benefits and improved patient care.
How does AI support drug production in the pharmaceutical industry?
By utilizing data science and AI in drug production, companies can enhance the efficiency and transparency of their production processes. This leads to better control and optimization of production quality.
What role does AI play in personalized medicine?
AI enables comprehensive analysis of patient data, facilitating the creation of personalized treatment plans. This leads to better health outcomes, as treatments can be tailored more precisely to the individual needs of patients.
