Pharmaceuticals

Reduce Costs & Accelerate Processes, Insights, and Operations Across The Life Sciences & Pharmaceuticals Value Chain

Plainsight vision AI provides the life sciences industry with one powerful, efficient platform to accelerate productivity while streamlining processes and reducing costs. Across all phases of the life sciences and pharmaceuticals value chain, Plainsight enables rapid application-specific innovation, iteration, automation, and repeatability.

USE CASE

DRUG R&D ACCELERATION

Challenge

Drug research and development is a lengthy, complex, and costly process, with a high degree of uncertainty. Less than one percent of projects are successful. The entire process, from early research to drug approval, can take 12-15 years and costs average in the billions.

Solution

Providing cost- and time- saving automation and efficiency, vision AI makes discovery of new drugs faster, cheaper, and more effective. Plainsight combines the latest camera and computer vision technologies for intelligent data curation, fast data labeling, quality dataset creation, easy model training and efficient operationalization. A broad array of solutions is possible and includes pattern identification in large volumes of data as well as initial screening of drug compounds to predict the success rate of a drug.

USE CASE

CLINICAL TRIAL OPTIMIZATION

Challenge

Many drugs fail in the clinical trial phases. However, device technology has evolved to the point that it is now possible to collect a vast array of physiological data, sleep, activity, and symptomatic data and combine new technologies to monitor trial participants remotely. Efficient and effective management of this data for analysis is needed for digital trial success.

Solution

With Plainsight, device management, data collection, data fusion/preparation, and vision AI model training and iteration can provide foundational, centralized knowledgebase for clinical trials and facilitate collaboration across stakeholders. Vision AI solutions can include predictive analytics for target identification and drug repurposing. Models can also be trained to assist with recruitment and retention activities. For example, finding the right candidates at a faster rate to accelerate R&D timelines. Integrated real-time alerting based upon trial, data, or participant-specific criteria provides clinical investigators and teams with immediate, real-world knowledge to ensure wellbeing of patients and keep trials on track.

USE CASE

CLINICAL TRIAL OPTIMIZATION

Challenge

Many drugs fail in the clinical trial phases. However, device technology has evolved to the point that it is now possible to collect a vast array of physiological data, sleep, activity, and symptomatic data and combine new technologies to monitor trial participants remotely. Efficient and effective management of this data for analysis is needed for digital trial success.

Solution

With Plainsight, device management, data collection, data fusion/preparation, and vision AI model training and iteration can provide foundational, centralized knowledgebase for clinical trials and facilitate collaboration across stakeholders. Vision AI solutions can include predictive analytics for target identification and drug repurposing. Models can also be trained to assist with recruitment and retention activities. For example, finding the right candidates at a faster rate to accelerate R&D timelines. Integrated real-time alerting based upon trial, data, or participant-specific criteria provides clinical investigators and teams with immediate, real-world knowledge to ensure wellbeing of patients and keep trials on track.

USE CASE

MEDICAL IMAGING

Challenge

Medical imaging is at a tipping point for technological transformation. There has been a massive increase in demand for cross-sectional imaging (CT and MRI). Medical images are becoming more complex, and at the same time there is a shortage of trained, experienced radiologists and health systems simply cannot recruit and train radiologists quickly enough to keep up with demand. These factors, combined with budgetary restraints made even more drastic due to the pandemic, are posing great challenges across pharmaceuticals and healthcare sectors.

Solution

Plainsight’s vision AI processes information faster than humans and enhances human-led clinical analysis and decision making by providing accurate contextualized information quickly and cost-effectively. By implementing Plainsight’s platform for medical imaging, organizations increase efficiency and accuracy, and eliminate the significant burdens of device and model management. With Plainsight, innovation teams, data scientists, as well as clinicians can devote their expertise to research, treatment development and patient outcomes.