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7 Essential Steps to Reach Global Audiences with Website Localization Services for Life Sciences Organizations

Website Localization for Life Sciences Organizations Means Greater Global Reach Life sciences organizations are under increasing pressure to connect with global audiences. With 65% of internet users preferring websites in their native language and 40% refusing to buy from...
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Transcreation in Clinical Research: How to Use Transcreation and Localization to Resonate with Your Audience

Clinical teams need to communicate with multilingual audiences across the globe while also meeting strict regulatory requirements. In addition to helping teams remain compliant, accurate translations ensure the highest standards of patient safety are met across clinical...
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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,...
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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...
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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,...
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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...
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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. ...
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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...
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How to Select the Right Regulatory Writing Company for Your Organization's Needs

In a landscape defined by ever-evolving global guidelines from health authorities, many life sciences organizations’ clinical and regulatory teams face challenges in navigating the regulatory affairs writing and document submission process. Adhering to strict rules while...
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5 Essential Use Cases for Generative AI and Machine Translation in Regulatory Content Submissions

Moving a drug from development, through clinical trials, to eventually the market involves many critical content pieces and challenges along the way.   According to research commissioned by Genpact, 72% of senior executives across the life sciences industry cited regulatory...
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Navigating the Bias Challenge: Medical Data for Ethical AI in Life Sciences

From drug discovery to personalized medicine, AI systems are broadly transforming how we approach health and disease. The clinical development life cycle generates enormous volumes of data, and its potential is fully realized through the strategic application of AI tools, such as...
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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...
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The Role of Artificial Intelligence (AI) in Clinical Outcome Assessments (COAs)

Written by Mark Wade, Global Practice Leader, COA SME. Abstract  Artificial Intelligence (AI) is the new frontier for content creation, reuse of language assets; saving time and effort in the curation of documentation. The widely adopted generative AI tools, such as ChatGPT...
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Five Essential Roles Artificial Intelligence Plays in Medical Writing

In the biotech and pharmaceutical industries, the importance of effective communication cannot be overstated. With a responsibility to accurately convey critical scientific findings, regulatory updates, and patient information1, the pressure is on medical writing teams to develop...
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The C3 Summit: San Francisco Recap

April 20 marked the first in our series of C3 Summits, which kicked off in San Francisco. Throughout the event, we invited industry experts to panel discussions to explore patient diversity, centricity, clinical technologies, and innovations. In this recap, we will...
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Decentralized Clinical Trials | TransPerfect Life Sciences

This is the second of a two-part series on our recent C3 Summits TransPerfect Life Sciences held C3 Summits in Princeton, NJ; Raleigh, NC; and London, England, where multiple subject matter experts came together to discuss clinical content. Throughout these events, we focused on...
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Why Automate the Literature Monitoring Process?

A key concern for pharma companies is keeping a close eye on publications that might mention their product and its potential impact on the public. These publications can be extremely dense in volume, commanding careful review of multiple documents across several different sources...
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Leveraging Artificial Intelligence (AI) in Pharmacovigilance

Expert-driven technologies are continually being implemented into the clinical process to eliminate manual burdens and ramp up efficiencies. AI-enabled automated systems help to remove the barriers that prevent high-quality data and compliance in reporting of clinical events....
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The Evolving Machine Translation and Translation Memory Landscape for Life Sciences

Over the past 70+ years and to this day, translation technology has changed drastically as more companies are focusing on ways to improve their tech performance with data that is higher quality and customizable. Consequently, life sciences organizations have been...
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A Comparison Between Document Management Systems (DMS) and Component Content Management Systems (CCMS) for Pharma

CHOOSING THE RIGHT OPTION FOR YOU AND YOUR BUSINESS NEEDS Global pharma companies produce and manage a lot of content that is complexly intertwined. To mitigate risk, ensure patient safety, meet regulatory compliance standards, and reduce cycle times for faster drug-to...
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Your Treatment Plan for Curing the App Localization Headache

If translation had a prefrontal cortex, in-country review would create quite the headache.  This is particularly true for app localization. App localization is the process of adapting apps and their content to another language in a conceptually equivalent and culturally...
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Let’s Chat About Chatbots: Part 1

According to Valuates Reports, the conversational AI market is projected to reach $32.62 billion by 2030, up from $5.78 billion in 2020. While it is clear chatbots and their uses are growing, it’s important to understand what a chatbot is exactly, its uses and benefits, and...
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Let’s Chat About Chatbots: Part 2

In our last post, we discussed how business are deploying and benefiting from chatbots. Now that you have a basic understanding of what chatbots are and how they work, the next step is implementing them into your business model. For life sciences companies that are unsure of...
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Does a One-Stop-Shop Global Translation Provider Truly Exist?

Within the global translation market, there are over 200 global language service providers (LSPs), each reporting annual revenues larger than $1 million. Collectively, the 2020 revenue of all 200 companies equates to approximately $8 billion. All of these LSPs have...