Close

5 Ways AI Can Improve The Pharma Industry

Note* - All images used are for editorial and illustrative purposes only and may not originate from the original news provider or associated company.

Related stories

Managing Quality and Regulatory Risks in Pharmaceutical Technology Transfer

Technology transfer moves more than manufacturing instructions. It moves process knowledge, supplier dependencies, labeling requirements, packaging specifications, and the evidence needed to demonstrate control. For medical device manufacturers, including those supporting drug-device combination products, these interfaces can become recurring sources of compliance gaps during site transitions, acquisitions, and remediation. The central problem is often not a missing procedure. It is a quality system that allows connected activities to change independently. A label revision may be approved while packaging artwork, supplier instructions, or production-system data still reflect an obsolete version. Staying inspection-ready requires manufacturers to manage these dependencies as one controlled system. Why Compliance Gaps Keep Recurring Findings are treated as documentation defects Revising a procedure can resolve an immediate discrepancy without changing the behavior that caused it. If unclear decision rights, weak escalation, or ineffective training remain, the same failure may surface elsewhere. Corrective and preventive action should distinguish the observed finding from its underlying cause and establish how effectiveness will be demonstrated. Ownership is divided across connected functions Quality, Regulatory Affairs, labeling, packaging engineering, operations, suppliers, and digital-system owners often maintain separate workflows. Each team may complete its assigned task while an interface remains uncontrolled. For example, changing an instruction for use can affect packaging configuration, translations, technical documentation, inventory disposition, and release controls. Transitions expose unresolved weaknesses Acquisitions and site transfers can introduce conflicting procedures, incomplete knowledge transfer, or different assumptions about validated processes. Regulatory changes add further demands. When these events coincide with CAPA or change-control backlogs, teams may prioritize administrative closure over risk reduction. Without a coordinated impact assessment, local fixes can create new gaps downstream. Establish the Regulatory Baseline Inspection readiness starts with knowing which requirements apply to the product, activity, and market. Pharmaceutical, device, and combination-product obligations are not interchangeable; transfer planning should identify the applicable requirements rather than assume one quality framework covers every operation. According to FDA’s Quality Management System Regulation overview and FAQs, the QMSR became effective on February 2, 2026, incorporates ISO 13485:2016 by reference, and introduced the updated device inspection process under Compliance Program 7382.850. ISO 13485 certification does not exempt a manufacturer from FDA inspection or guarantee compliance with FDA requirements. For devices marketed in the European Union, Regulation (EU) 2017/745, Annex I, Section 23, provides the primary requirements for information supplied with devices, including labels and instructions for use. Teams should assess the applicable provisions alongside relevant language, product-specific, and market requirements. A labeling review should therefore evaluate required content and consistency with the device’s intended purpose and supporting documentation—not merely artwork accuracy. How to Identify the Real Gaps Begin with a cross-functional assessment that follows actual product and information flows. Select representative transfers, label changes, supplier changes, and CAPAs, then trace each from initiation through implementation and effectiveness review. Map dependencies: Identify affected specifications, suppliers, packaging components, systems, validation activities, and training. Compare records with practice: Check whether approved procedures match what operators and reviewers actually do. Test traceability: Follow a requirement through technical documentation, labeling, production instructions, and release evidence. Examine recurrence: Look for repeated deviations, reopened actions, overdue changes, and findings shared across sites. Assess capacity: Determine whether qualified owners have enough time and authority to complete corrective work. Prioritize gaps by potential patient or user harm, regulatory impact, likelihood of recurrence, and detectability. Document the rationale; an old overdue item is not automatically more important than a newly identified high-risk weakness. Align Quality, Labeling, Packaging, and Change Control Create a coordinated remediation plan with one accountable owner for each action, named contributors, acceptance criteria, and required evidence. Separate immediate containment from systemic correction. Containment might prevent obsolete labels from being issued; correction might redesign approval and implementation controls so obsolete versions cannot return. Use change control as the integration point. Before approval, evaluate effects on regulatory submissions or notifications, technical documentation, supplier controls, packaging performance, validation, electronic master data, inventory, and training. Record both identified impacts and justified decisions that particular activities are unaffected. During technology transfer, define readiness gates before production or release responsibilities move. These should address the transfer of process knowledge, acceptance criteria, receiving-site capability, required qualification or validation, approved documents, and personnel competence. The appropriate evidence depends on the product and process; a generic checklist cannot replace a documented assessment. Finally, verify implementation where the work happens. Confirm that current instructions are available, suppliers received approved requirements, systems contain correct versions, and affected personnel can perform their tasks. A signed approval is not evidence that every downstream change took effect. Mistakes That Undermine Inspection Readiness Closing CAPAs on task completion alone: Effectiveness checks should test whether the underlying failure has been controlled. Updating labels in isolation: Assess packaging, supplier, system, documentation, and inventory consequences. Counting closures instead of evidence: Dashboards need defensible records behind their status indicators. ...

State of API & Peptide CDMO Capacity

Pharmaceutical companies planning peptide or complex small-molecule launches are...

What Goes Into Synthetic Urine? The Chemistry Behind Replicating a Biological Fluid

Synthetic urine sounds simple until you look closely at...
- Advertisement -

Pharmaceuticals are a vital part of the healthcare industry. They help improve the quality of drugs and services they provide, as well as discover new drugs to cure deadly and complicated diseases. That said, it’s crucial to streamline their services to ensure that every process they do has little to no errors. But how can they do that? Well, it is where artificial intelligence (AI) comes in.

Artificial intelligence is a cutting-edge technology that has revolutionized many industries, and the pharma industry is no exception. How? This article will explain the five ways AI can improve the pharma industry.

  1. Automating Drug Discovery

The pharmaceutical industry is under enormous pressure to develop new drugs quickly and efficiently. Unfortunately, the drug discovery process is lengthy and complex, involving screening many molecules in the hopes of finding a few that show promise.

AI has recently emerged as a powerful tool for automating this process. By applying machine learning (ML) algorithms to data from previous experiments, AI can identify patterns that scientists might miss. It can dramatically speed up the drug discovery process, which then helps to develop new treatments for many diseases.

Coming up with an AI system that can screen molecules for potential therapeutic activity is one thing, and thanks to technological advancements, building such a system is not at all challenging. By using the recommended site, you’ll find it easy to establish a system that the scientific community will accept.

  1. Predicting When Demand For Drugs Will Spike

Operating a pharmaceutical is the same as managing any other business: you need the right and ample supplies when demand is high, and AI can help ensure this. By analyzing historical data and trends, AI can predict when demand for specific drugs will spike and alert the company so they can prepare. It helps ensure patients get the care they need but also helps avoid costly inventory issues.

AI can also monitor social media for early warning signs of a potential outbreak. For example, if there is an uptick in mentions of the flu on social media, AI can analyze this data and alert the company so they can begin production of flu medication sooner. This way, when a flu outbreak hits a specific locality, drug supplies are sufficient to aid the needs of the community.

  1. Improving Clinical Trials

The pharma industry carries the challenge of one of the most challenging and vital jobs-finding new treatments for diseases. Specifically, clinical trials play a crucial role in finding cures for incurable diseases today. They are essential for approving new drugs and treatments by regulatory bodies before rolling them out for public use.

Clinical trials have recently become more complex and expensive, with the average cost exceeding USD$1 billion. The number of people willing to participate in clinical trials has also been declining steadily. Only about 20% of those eligible take part in these studies. A significant reason why fewer people want to partake in clinical trials is the decreasing success rate of drug candidates, which makes others not risk their lives.

5 Ways AI Can Improve The Pharma Industry

To mitigate these problems, AI can be beneficial. It can identify patients most likely to respond positively to a particular treatment. It would make clinical trials more efficient by eliminating human error and streamlining the entire clinical trial process.

  1. Improving Patient Outcomes

Identifying treatments that are more likely to work for individual patients can be difficult and time-consuming. However, by using machine learning algorithms to analyze the patient’s medical history, symptoms, and other factors, AI can help doctors choose the best course of treatment much more quickly. It can lead to better patient outcomes and reduced healthcare costs.

In addition, AI can also help monitor patients after they have been discharged from the hospital. By tracking their vital signs and other health data, AI can alert doctors if a patient’s condition deteriorates, allowing them to intervene before it becomes severe.

  1. Reducing Cost

While the drug discovery process is essential, it is also expensive, which makes the price of new drugs rise. According to a study by the IMS Institute for Healthcare Informatics, the cost of developing a new drug has increased from USD$648 million to over USD$1 billion from 2013 to 2022. That is because drug development is lengthy and complicated, with many moving parts.

However, AI has the potential to help lower the cost of developing new drugs. One way it can do this is by helping to speed up the drug discovery process. In addition, AI can help identify new drug targets and predict how well a drug will work in humans before it undergoes clinical trials.

Another way AI can help reduce the cost of developing new drugs is by assisting pharmaceutical companies to use their data better. For example, data from clinical trials can help train machine learning algorithms and help predict which patients are most likely to respond positively to a specific drug. This information can help fine-tune clinical trials to be more efficient and cost-effective.

Conclusion

Technological advancements, particularly AI, are changing various industries for the better. It helps them streamline their processes to save on costs without sacrificing product quality. The pharma industry is no different. From improving clinical trials to creating more personalized drugs, AI can help the pharma industry in many ways. Therefore, it’s no surprise that AI is being adopted by pharma companies worldwide. Join this growing number so you can benefit from it too.

Never miss a pharmaceutical headline

The pharmaceutical industry moves fast – stay on top of it with our must - read briefings.

  • The top pharma and life sciences stories, straight to your inbox
  • The biggest news, features, interviews, and analysis
  • Dedicated coverage of the key developments driving the global pharmaceutical sector

Subscribe

- Never miss a story with notifications

- Gain full access to our premium content

- Browse free from any location or device.

Media Packs

Expand Your Reach With Our Customized Solutions Empowering Your Campaigns To Maximize Your Reach & Drive Real Results!

– Access the Media Pack Now

– Book a Conference Call

– Leave Message for Us to Get Back

Latest stories

Related stories

Managing Quality and Regulatory Risks in Pharmaceutical Technology Transfer

Technology transfer moves more than manufacturing instructions. It moves process knowledge, supplier dependencies, labeling requirements, packaging specifications, and the evidence needed to demonstrate control. For medical device manufacturers, including those supporting drug-device combination products, these interfaces can become recurring sources of compliance gaps during site transitions, acquisitions, and remediation. The central problem is often not a missing procedure. It is a quality system that allows connected activities to change independently. A label revision may be approved while packaging artwork, supplier instructions, or production-system data still reflect an obsolete version. Staying inspection-ready requires manufacturers to manage these dependencies as one controlled system. Why Compliance Gaps Keep Recurring Findings are treated as documentation defects Revising a procedure can resolve an immediate discrepancy without changing the behavior that caused it. If unclear decision rights, weak escalation, or ineffective training remain, the same failure may surface elsewhere. Corrective and preventive action should distinguish the observed finding from its underlying cause and establish how effectiveness will be demonstrated. Ownership is divided across connected functions Quality, Regulatory Affairs, labeling, packaging engineering, operations, suppliers, and digital-system owners often maintain separate workflows. Each team may complete its assigned task while an interface remains uncontrolled. For example, changing an instruction for use can affect packaging configuration, translations, technical documentation, inventory disposition, and release controls. Transitions expose unresolved weaknesses Acquisitions and site transfers can introduce conflicting procedures, incomplete knowledge transfer, or different assumptions about validated processes. Regulatory changes add further demands. When these events coincide with CAPA or change-control backlogs, teams may prioritize administrative closure over risk reduction. Without a coordinated impact assessment, local fixes can create new gaps downstream. Establish the Regulatory Baseline Inspection readiness starts with knowing which requirements apply to the product, activity, and market. Pharmaceutical, device, and combination-product obligations are not interchangeable; transfer planning should identify the applicable requirements rather than assume one quality framework covers every operation. According to FDA’s Quality Management System Regulation overview and FAQs, the QMSR became effective on February 2, 2026, incorporates ISO 13485:2016 by reference, and introduced the updated device inspection process under Compliance Program 7382.850. ISO 13485 certification does not exempt a manufacturer from FDA inspection or guarantee compliance with FDA requirements. For devices marketed in the European Union, Regulation (EU) 2017/745, Annex I, Section 23, provides the primary requirements for information supplied with devices, including labels and instructions for use. Teams should assess the applicable provisions alongside relevant language, product-specific, and market requirements. A labeling review should therefore evaluate required content and consistency with the device’s intended purpose and supporting documentation—not merely artwork accuracy. How to Identify the Real Gaps Begin with a cross-functional assessment that follows actual product and information flows. Select representative transfers, label changes, supplier changes, and CAPAs, then trace each from initiation through implementation and effectiveness review. Map dependencies: Identify affected specifications, suppliers, packaging components, systems, validation activities, and training. Compare records with practice: Check whether approved procedures match what operators and reviewers actually do. Test traceability: Follow a requirement through technical documentation, labeling, production instructions, and release evidence. Examine recurrence: Look for repeated deviations, reopened actions, overdue changes, and findings shared across sites. Assess capacity: Determine whether qualified owners have enough time and authority to complete corrective work. Prioritize gaps by potential patient or user harm, regulatory impact, likelihood of recurrence, and detectability. Document the rationale; an old overdue item is not automatically more important than a newly identified high-risk weakness. Align Quality, Labeling, Packaging, and Change Control Create a coordinated remediation plan with one accountable owner for each action, named contributors, acceptance criteria, and required evidence. Separate immediate containment from systemic correction. Containment might prevent obsolete labels from being issued; correction might redesign approval and implementation controls so obsolete versions cannot return. Use change control as the integration point. Before approval, evaluate effects on regulatory submissions or notifications, technical documentation, supplier controls, packaging performance, validation, electronic master data, inventory, and training. Record both identified impacts and justified decisions that particular activities are unaffected. During technology transfer, define readiness gates before production or release responsibilities move. These should address the transfer of process knowledge, acceptance criteria, receiving-site capability, required qualification or validation, approved documents, and personnel competence. The appropriate evidence depends on the product and process; a generic checklist cannot replace a documented assessment. Finally, verify implementation where the work happens. Confirm that current instructions are available, suppliers received approved requirements, systems contain correct versions, and affected personnel can perform their tasks. A signed approval is not evidence that every downstream change took effect. Mistakes That Undermine Inspection Readiness Closing CAPAs on task completion alone: Effectiveness checks should test whether the underlying failure has been controlled. Updating labels in isolation: Assess packaging, supplier, system, documentation, and inventory consequences. Counting closures instead of evidence: Dashboards need defensible records behind their status indicators. ...

State of API & Peptide CDMO Capacity

Pharmaceutical companies planning peptide or complex small-molecule launches are...

What Goes Into Synthetic Urine? The Chemistry Behind Replicating a Biological Fluid

Synthetic urine sounds simple until you look closely at...

Danaher Prepares to Introduce Advanced AI-Powered Laboratory

In a significant step for pharmaceutical research, Danaher has...

Subscribe

- Never miss a story with notifications

- Gain full access to our premium content

- Browse free from any location or device.

Media Packs

Expand Your Reach With Our Customized Solutions Empowering Your Campaigns To Maximize Your Reach & Drive Real Results!

– Access theMedia Pack Now

– Book a Conference Call

– Leave Message for Us to Get Back

Translate »