Highlights of the Case Study:
|Client||A leading pharma company in South America was struggling with the increasing cost of biologics development.|
|Business Challenge||Our client wanted to analyze diverse data types for drug discovery, originating from experiments and surveys conducted at hospitals, laboratories, and pharmaceutical companies to speed up drug discovery and clinical trials.|
|Impact||Quantzig offered the client an AI system and predictive analytics solution that helped to identify new genome targets by linking them with large-scale data. The model was used to reduce traditional cycle time and eliminate data silos.|
Game-Changing Solutions for the Pharmaceutical Industry
Drug development is a long research-intensive process involving multiple stakeholders. Pharmaceutical companies invest their time and resources in analyzing the data, followed by R&D, and clinical trials, leading to drug development. It is necessary to streamline drug development processes so that these medicines can save lives. The time saved in the drug development process translates into life years potentially saved.
AI and predictive analytics solutions help pharma companies predict drug behavior, improve the success rate for clinical trials, and enable data-driven decisions for rapid drug development. Quantzig’s pharma and life sciences analytics experts can help pharma companies transform drug development by quickly analyzing a large and diverse pool of data.
The Challenges of the Client
Our client is a leading pharma company from South America that wanted to reduce the cost of biologics development. The client needed to analyze large volumes of biomedical data from experiments and surveys conducted at hospitals, laboratories, and pharmaceutical companies. This data included sequencing, gene expression, molecular, protein, drug interaction, and clinical trial data.
The client was also facing issues due to the prevalence of data silos, an increasing rate of expensive failures, and sub-par projections. In addition to increasing cost structure, this led to lengthy trial cycles in the drug discovery process, with specific molecules taking more than a decade to get regulatory approvals.
The client approached Quantzig for a tailor-made AI system and predictive analytics solution capable of decreasing drug development costs and speeding up drug discovery and clinical trials. The client also wanted to reduce the drug development cycle time and minimize prediction failures.
Quantzig’s AI System and Predictive Analytics Solution for Pharmaceuticals
Quantzig experts deployed a data analytics algorithm and AI system solution that identified new genome targets by linking them with large-scale data. This solution would help to increase the success rate of identifying disease biology and reduce failure rate and cycle time. Additionally, the algorithm created by our experts mapped disease passageways, protein, and therapeutic poly-pharmacological interactions based on experimental survey data. This enabled the client to discover new pathways and explore chemical spaces for faster drug discovery than their competitors. The solution deployed by our experts improved patient access and decreased costs. The predictive analysis software helped to predict drug behavior in the clinical trials to identify the gaps in the discovery process.
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Impact Analysis of Quantzig’s AI Solutions for the Pharma Industry
The solution offered by Quantzig helped the client to effectively decrease the cost of drug development and analyze structured and unstructured biomedical data. In addition, our AI system and predictive analytics solutions enabled our client to reduce drug discovery and FDA approval trial cycles. Besides these benefits, Quantzig’s solution impacted the client’s business in the following ways:
- Reduced the client’s traditional cycle time from 5-6 years to 8 months
- Increased success rate of clinical trials by 40%
- Eliminated data silos
- Helped the client announce phase one of its second clinical trial early
Quantzig’s AI system and predictive analytics solution helped the client decrease biologics development costs. Our AI system and predictive analytics solution helped the client examine sequencing and gene expression data, molecular data, protein and drug interaction data, and clinical trial data. Our solution enabled the client to decrease the time taken in drug discovery trials. We were able to help the client to eliminate data silos, reduce the rate of expensive failures, and increase the success rate of identifying disease biology. As a result of this successful collaboration, our client received the requisite approvals in the German market. In addition, our client rolled out our AI system and predictive analytics software in five other labs located globally.
A Broad Perspective on the role of AI Systems and Predictive Solutions in the Pharmaceutical Sector:
AI and big data use have grown significantly in the pharmaceutical sector over the past five years. Emerging technologies such as predictive analytics help research partners of pharma companies identify and focus on molecules that can treat illness. Pharmaceutical manufacturers have begun leveraging AI and predictive analytics solutions to improve patient conditions, ensure faster product development, optimize equipment and human resources utilization, and increase their profit margins. Quantzig’s AI and predictive analytics solutions are designed to help drug manufacturers develop products faster with higher accuracy and at reduced costs.
- Evaluated and analyzed biomedical data sets
- Decreased the cost of drug development
- Reduced the duration of trial cycles in drug discovery
- Increased success rate of drug trials
- Eliminated data silos
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