Medical translation changes when your translation partner thinks like a scientist 

There are generalist translation companies, and then there’s Language Scientific. When your content carries technical, legal, or regulatory risks, “We translate everything” may not be the reassurance you’re looking for. 

Medical translation is more than just word substitution. You need a translation provider with subject-matter expertise, documented and auditable quality processes, and translators with medical and scientific credentials. That’s the difference that specialization makes. 

For us at Language Scientific, “scientific” carries two meanings. It’s the nexus of two separate roles that scientists play within Language Scientific:

1. Our translators are scientists, doctors, and pharmacists who aren’t just word replacers. They truly understand the science and subject matter behind the words they’re translating. 
2. Our computational linguists, or language scientists, who create and shape the technology tools that our translators use. 

Language Scientific is unique in the language business, because we work at the intersection of these two applications of science: translators who are scientific subject-matter experts, and language scientists who provide the technological framework that allows our translators to work effectively and efficiently. 

“Scientific”: the people doing the translation understand the science 

At Language Scientific, “scientific” starts with the subject matter itself. Our work is divided into four unique practice areas:

• Endpoint adjudication for clinical trials, often involving handwritten notes and poorly scanned PDFs
• Linguistic validation of patient questionnaires, allowing clinical instruments to measure drug effectiveness
• Clinical HelpLine: our on-demand interpreting service that allows clinicians and clinical research assistants to connect from global clinical trial sites to a study’s medical directors, even if they don’t speak the same language 
• Plain language summaries; easy-to-read descriptions of clinical trials, intended for a non-scientist audience and required in the European Union and other areas 

This type of content isn’t simply a string of words to be converted from one language into another; the translator has to understand what the document actually means. A self-taught medical translator may be able to do word replacement: “ilium” (hip bone) in English = “ilion” in Spanish. 

But what happens when a self-taught medical translator encounters the word “ileum” (section of the small intestine) instead of “ilium,” (hip bone)  and doesn’t realize that it’s an error? Or confuses “positive” (a good outcome) with “positive” (a test result that identified the presence of a disease). These are simple examples, but they make an important point: a translator without a deep medical or scientific background can easily introduce a substantive mistranslation into an important document, potentially jeopardizing regulatory approval of a drug. 

“Scientific”: The science behind the translation process

This second meaning is less visible to our clients, but equally important. For decades, well before ChatGPT was even on the horizon, Language Scientific’s computational linguists and language scientists have developed specialized tools to support our translators behind the scenes. 

In this sense, Language Scientific has been using language science, natural-language processing, and artificial intelligence since the beginning. We were founded in 1999 by a group of international scientists and engineers, working on a nuclear non-proliferation project for the U.S. Department of Energy. 

When our initial team of translators dug into these materials, they found countless examples of inaccurate terminology, vague wording, and even critical mistranslations. This was the genesis of Language Scientific, with the mission of setting a new quality control standard for technical translation. 

From the beginning, we knew that technology would play a key role in these high-stakes scientific translations; not to replace human expertise, but to eliminate repetitive work, and to improve the quality and reliability of human translation. The technology has evolved a great deal since 1999. From natural language processing, to translation memory, to neural machine translation, to AI-assisted translation, our computational linguists have been at the forefront of language technology. 

The real difference? Where those two kinds of science meet

When you’re selecting a translation partner, you shouldn’t have to choose between expertise and technology. The following table shows the nexus of subject-matter expertise and language technology: the two meanings of “scientific” in our name. First, the medical and scientific expertise of the professionals who translate the content. Second, the computational linguists and engineers who create the technology systems that support our linguists. 

Neither one of these scientific disciplines is sufficient on its own. An MD, PhD, or engineer understands the scientific concepts, but they still need technology that detects inconsistencies and keeps the translation process efficient. A sophisticated technology platform can process enormous volumes of content, but it can’t, on its own, guarantee that a clinically significant term has been translated correctly.

AI should bolster human judgment, not replace it

Language Scientific’s approach to AI is “Enhancement, not substitution.” The goal of language technology is not to replace doctors and scientists. Instead, AI and the tools that came before it (natural language processing, machine translation, translation memory) are all aimed at one goal: providing high-quality medical translations at the scale required by our clients. 

When used correctly, translation technology (or “language science”) helps human translators work better and faster. Since Language Scientific was founded, we’ve found iterative ways to make this happen. In the early 2000s, terminology databases and automated glossaries helped our translators use the same terms, in the same way, even when translating complex texts such as nuclear regulatory documents. In recent years, we’ve developed proprietary medical-grade AI engines, automating tasks that typically slow a translation project down. A simple example: checking for duplicate files. For a typical clinical trial, a client may send us thousands of files. Inevitably, many of these are duplicates. Before AI, identifying these “dupes” involved slowly and manually checking for repeated text across file batches. Today, we’ve automated this process with proprietary AI-based tools, saving one client over a million dollars during a single trial. 

Strategic and critical thinking will never be replaced by humans. At the same time, human doctors will make mistakes. Language Scientific’s technology doesn’t replace our subject-matter experts; it supplements their work. 

Scientific thinking leads to specialized solutions

Many clients come to us after being let down by generalist translation companies who promised a level of specialized expertise that they didn’t have. Additionally, no two medical translations are the same. Clinical trials don’t all generate the same content, follow the same processes, or present the same risks. A translation workflow that works well for boilerplate documentation may be a bad option for scanned, handwritten medical records or urgent communication between a study site and U.S.-based medical director. 

We’ve developed four practice areas to address these challenges: 

Endpoint Adjudication and Adverse Event Translation 

These are time-sensitive materials related to clinical trial patient outcomes; a trial may even be in a holding pattern until the translation is completed. Additionally, clinical documentation often arrives in a haphazard manner: scanned (sometimes poorly scanned) PDFs, handwritten physician notes, and documents with many abbreviations and inconsistent formatting. 

Linguistic Validation
Many medical documents, particularly patient questionnaires and informed consent documents, are translated into dozens of languages with very little overlap between them (German and Vietnamese, for example). Linguistic validation ensures that these assessments and questions measure the same concepts across languages and cultures. Linguistic validation involves consistent documents: the same questionnaire in 12 languages, for example. But the psychosocial factors (does the word “pain” mean physical pain, emotional pain, or both) are subtle and important. 

Clinical HelpLine 

Many of our clients’ clinical trial sites are scattered around the world, and many questions, particularly about who can be included in a clinical trial, need to be answered immediately. Add potential language barriers between the on-site team and the study’s medical directors, and this calls for a customized solution. Clinical HelpLine connects worldwide clinical trial site personnel with the medical directors who can answer their questions, including on-demand interpreting if the call participants don’t speak the same language. 

Plain Language Summary Translation 

Plain language summaries communicate the most important information about a clinical trial, in language that the general public (not medical specialists) can understand. Translating these summaries requires specialized skills, because the translator must understand the underlying scientific concepts, while making complex information understandable to a non-scientist audience. 

Subject-matter expertise is risk management 

In medical translation scenarios, translation quality is about much more than the documents themselves. The quality of the translation has trickle-down effects on patients’ understanding of what they’re enrolling in, the performance of a specific clinical trial site, the success of a regulatory submission, the study’s ability to meet its agreed-upon deadlines, and ultimately the success of the initiative itself. 

Medical and pharmaceutical companies and CROs need a translation partner who understands science, language, the operational realities of clinical research, and the appropriate role for language technology. Translation workflows need to reduce risk and avoid performing the same task twice, while keeping information moving across countries, languages, and teams. 

Generalist translation companies who promise to “translate anything and everything” play an important role in the language business. But they’re not the right choice for high-stakes medical translation. When you need the intersection of scientific expertise and language science, you need Language Scientific.