Pharmaceutical and Bio Pharma

SpringML helps build ML models to segment target populations for drug discovery

Improving clinical trial productivity and outcomes using AI

R&D & Clinical

We help payers and providers use AI for better patient experience.

Manufacturing and Supply Chain

We can help build AI models to improve clinical trials and process large datasets in drug discovery.

Sales & Marketing Commercialization

Identify device failures and predict age left on parts.

Enter a New Age of Innovation and Productivity

Today’s pharmaceutical and biopharmaceutical companies are under tremendous pressure from two competing imperatives. The first is to bring to market the next generation of highly-specialized drugs and biologics for target populations. The second imperative is to reign in escalating costs across the key activities of the life sciences business model: R&D and clinical trials, manufacturing and supply chain operations, and commercial sales and marketing.

That’s why we help life sciences companies like yours take advantage of today’s vast ecosystem of internal and external data sources: from big data repositories containing patient health records, human genome data, and other information, to the huge volumes of data generated daily by the commercial side of your operation including  sales, distribution, and marketing information.

By using advanced cloud computing platforms and customized ML algorithms to aggregate and analyze all of this data, we help you uncover what’s hidden in the data you already have. You can generate new insights in drug discovery, improve clinical trial outcomes, optimize investment decisions and supply chains, as well as improve sales and marketing effectiveness and better engage with patients and clinicians.

Use cases

New or Repurposed Drug Therapies

Using custom-built ML algorithms to analyze all of your structured and unstructured data, we can help you identify new patterns and trends that can lead to new therapies or product extensions that were previously overlooked. We can help you identify new biomarkers that improve diagnoses or re-evaluate previously failed therapies to see if they are actually effective for a more narrowly-defined target population.

Optimized Product Portfolios

Apply ML-enabled analysis to your product development pipeline so you can better define development milestones and better assess potential trial outcomes across your product portfolio. You can validate targets much earlier in the process, which helps you improve your investment decisions and helps you avoid spending millions in ineffective R&D and clinical trial spend around therapies with little chance of success.

Stockout Prevention

Stockouts in clinical settings not only affect bottom lines with reduced sales and higher generic substitutions, they can also delay medical procedures that impact patient safety. That’s why we help drug dispensers with ML-enabled automation and visual inspection technology to accurately predict stockouts and ensure timely fulfillment to prevent them.

Sales Pipeline Expansion

Maximize the value of your sales activities with predictive sales forecasting that continuously analyzes past and current pipeline data to assess future sales performance. You can deploy integrated ad analytics that help sales teams deliver more effective ad placement and messaging, or monitor and interact with social medial platforms in real time to increase the number of sales-qualified leads.

Improved Trial Efficiency and Outcomes

Get fresh insight from existing stores of data that helps you optimize clinical trial design and avoid committing extensive investments in patients, personnel, patients, and resources based on incomplete information. You can run data-driven “virtual” clinical trials to pre-determine outcomes and test different hypotheses. You can also combine genomic data with electronic health records (EHRs) to establish an ideal patient profile that better fits the drug’s target population, so clinical trials won’t fail due to poorly-defined eligibility requirements.

Improved Value and Uptime of Critical Equipment

Avoid costly downtime of your mission critical laboratory and manufacturing equipment by combining predictive maintenance algorithms with the Internet of Things technology to monitor and analyze machine sensor data in real-time. You can ensure proper machine calibration, predict equipment failure before it occurs, and even maximize the lifetime of parts by replacing or servicing them only when necessary.

Marketing Campaign Effectiveness

Monitor campaign performance across your entire media landscape. Gain deeper insight into patient and physician interactions with your advertising and messaging activities including interactions on social medical platforms. You can use sentiment analysis to better understand user activity and ad performance in terms of cost-benefit and opportunity conversion, as well as know when and how to engage with users directly to seize new opportunities.

New or Repurposed Drug Therapies

Using custom-built ML algorithms to analyze all of your structured and unstructured data, we can help you identify new patterns and trends that can lead to new therapies or product extensions that were previously overlooked. We can help you identify new biomarkers that improve diagnoses or re-evaluate previously failed therapies to see if they are actually effective for a more narrowly-defined target population.

Improved Trial Efficiency and Outcomes

Get fresh insight from existing stores of data that helps you optimize clinical trial design and avoid committing extensive investments in patients, personnel, patients, and resources based on incomplete information. You can run data-driven “virtual” clinical trials to pre-determine outcomes and test different hypotheses. You can also combine genomic data with electronic health records (EHRs) to establish an ideal patient profile that better fits the drug’s target population, so clinical trials won’t fail due to poorly-defined eligibility requirements.

Optimized Product Portfolios

Apply ML-enabled analysis to your product development pipeline so you can better define development milestones and better assess potential trial outcomes across your product portfolio. You can validate targets much earlier in the process, which helps you improve your investment decisions and helps you avoid spending millions in ineffective R&D and clinical trial spend around therapies with little chance of success.

Improved Value and Uptime of Critical Equipment

Avoid costly downtime of your mission critical laboratory and manufacturing equipment by combining predictive maintenance algorithms with the Internet of Things technology to monitor and analyze machine sensor data in real-time. You can ensure proper machine calibration, predict equipment failure before it occurs, and even maximize the lifetime of parts by replacing or servicing them only when necessary.

Stockout Prevention

Stockouts in clinical settings not only affect bottom lines with reduced sales and higher generic substitutions, they can also delay medical procedures that impact patient safety. That’s why we help drug dispensers with ML-enabled automation and visual inspection technology to accurately predict stockouts and ensure timely fulfillment to prevent them.

Marketing Campaign Effectiveness

Monitor campaign performance across your entire media landscape. Gain deeper insight into patient and physician interactions with your advertising and messaging activities including interactions on social medical platforms. You can use sentiment analysis to better understand user activity and ad performance in terms of cost-benefit and opportunity conversion, as well as know when and how to engage with users directly to seize new opportunities.

Sales Pipeline Expansion

Maximize the value of your sales activities with predictive sales forecasting that continuously analyzes past and current pipeline data to assess future sales performance. You can deploy integrated ad analytics that help sales teams deliver more effective ad placement and messaging, or monitor and interact with social medial platforms in real time to increase the number of sales-qualified leads.

Customer Successes

Thought Leadership

Check out our recent blogs and videos on best practices and implementation approach to help the healthcare community.

Let's Chat

We’re ready to help you seize the advantage with Machine Learning in Healthcare and Life Sciences.

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