Thought Leadership
White Paper

Transforming Pharmacovigilance with AI and Automation

Explore how AI enhances safety reporting, automates processes, and drives compliance in pharmacovigilance....
Guide

Harnessing AI in Pharmacovigilance: Insights from World Drug Safety Amsterdam 2024

Pharmacovigilance professionals face an escalating challenge: data overload. From AI-powered transcription and case triage to automated literature translation, insights from the World Drug Safety Congress 2024 showcased practical solutions for streamlining workflows and reducing...
Blog

Where to Apply Machine Translation in Life Sciences Content Workstreams Right Now

In the life sciences industry, it’s increasingly essential to reduce cycle times and enhance operational efficiencies, especially across clinical and commercial team processes. To address evolving regulations from global health authorities and the common pain points of costs,...
Blog

The Imperative of Accurate Translations in Clinical Research

With the increase of global clinical trials, clinical documentation is required to be accurately translated at every stage from lab to launch. Despite the administrative burdens and tight regulatory timelines that clinical teams face, accuracy cannot be sacrificed in life science...
Blog

How Pharmacovigilance Automation Solutions Can Help You Meet Tight Regulatory Reporting Timelines

Pharmacovigilance (PV) teams play a critical role in detecting, assessing, understanding, and preventing the unintended adverse effects of medications and treatments. Their work, which includes drug reaction monitoring, drug safety surveillance, side effect monitoring,...
Blog

How to Improve the Speed and Accuracy of Patient Communications in Clinical Development

According to Phesi, more than a quarter of clinical trials conducted in 2023 were canceled during Phase II.  As clinical research teams struggle with patient recruitment and engagement under tight deadlines and immense regulatory pressure, patients also grapple with...
Blog

Implications of AI in Healthcare and Life Sciences: Ethical Considerations in the Age of AI

Artificial intelligence (AI) models have already shown transformative potential in the life sciences industry, including automating administrative clinical research tasks, analyzing patient data to predict future health risks, synthesizing medical information, and more. ...
Guide

Pragmatic Use Cases for AI in Pharmacovigilance and Safety

The rapid rise of artificial intelligence presents an opportunity for effective and transformative applications in pharmacovigilance. Intake, query routing and response, case reporting, HAQs, and more are now extremely feasible use cases that create exponential efficiency in...
Blog

3 Ways to Leverage Generative AI in Pharmacovigilance

Despite the rigorous drug safety and efficacy standards in trials, study medicines can have unintended side effects on patients throughout the clinical trial journey and even in the post-market setting. To ensure patient safety and mitigate risk, global health regulatory...
Webinar

AI and MT for PV and Safety Office Hours - 6/12/24

Welcome to TransPerfect Life Sciences' AI and MT Ask an Expert Office Hours. In these sessions, we provide an opportunity for our community to submit their pressing questions for our experts to answer live, in the company of your industry peers. If you are looking for some...
Webinar

AI and MT "Ask an Expert" Office Hours - 4/10/2024

TransPerfect's experts gather to answer questions from global pharma, biotech, and medical device leaders regarding AI and MT use cases, challenges, opportunities, best practices, and more....
White Paper

Unlocking the Power of AI and Machine Learning in Life Sciences

Life sciences companies are putting artificial intelligence (AI) and machine learning (ML) into practice, realizing its potential to revolutionize adverse event detection, diagnostics, and more. For AI and ML to be truly effective, you need to give context to your data, teaching...
Blog

4 Immediate Applications for AI Translation in Pharma

Precision and speed are key facets of success in the dynamic world of pharmaceutical development. To achieve these goals, AI-powered capabilities, such as machine translation (MT), can have a considerable and transformative impact.  Automated translation workstreams enable...
Guide

Buyer’s Guide: PV Reporting AI and Automation

Considerations for selecting modern pharmacovigilance (PV) and safety solutions that improve adverse event detection, assessment, understanding and prevention. Download your copy to gain expert insights into developing and implementing a robust automation strategy for PV &...
White Paper

The Imperative of Automation in Pharmacovigilance and Patient Safety

Uncover the transformative potential of tech-enabled pharmacovigilance (PV) processes to maximize patient safety and streamline reporting. This white paper outlines the practical application of Artificial Intelligence (AI), Translation Management Systems (TMS), and other...
Blog

5 Key Considerations for Implementing Digital Technologies to Support Patients in China

Patient support is a hot topic in the life sciences space. Healthcare providers are consistently looking for ways to improve patient care and better support patients’ needs. In our previous post, we discussed how China was paving the way in leveraging digital health technologies...
Client Story

UBC Case Study: UBC Expedites Administration and Contact Center Response Times

TransPerfect Connect helps UBC expedite administration and call center response times....
Blog

Preparing Compliant eCTD Submissions in Asia

In May 2015, the US FDA published final and binding guidance requiring submission within 24 months of certain Common Technical Documents (CTDs) in an electronic format. This was ratified in 2017 and subsequently revised in February 2020 (Rev. 7). Currently, other notifying bodies...
Client Story

Medical Annotation: Using Natural Language Processing for Adverse Events

TransPerfect's DataForce Streamlines Adverse Event Detection with NLP. ...
Webinar

Simplifying Clinical Trial Training Management

Training is important and required to remain current with appropiate regulations. This is key to protecting patient safety and putting out quality products....