Thought Leadership
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

Intellectual Property (IP) Strategies to Consider for Life Sciences Start-Ups

Intellectual property (IP) is one of the most valuable assets a life sciences innovator or start-up has. While these companies are often built on the foundations of successful pre-clinical studies, they face a substantial amount of time between obtaining regulatory approvals and...
Blog

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...
Blog

Leveraging the Patent Priority Date: A Life Sciences Focus

The ACC last month hosted the San Francisco Bay Area Life Sciences CLE Conference, giving TransPerfect Legal Solutions (TLS) team members the opportunity to learn and connect with colleagues. One of the panels, moderated by Alex Trimble, Partner at Mintz Levin, Cohn, Ferris,...
Blog

An Unlikely Perfect Pairing: Life Sciences & Translation

What Is Life Sciences Translation? Let’s first define the term “translation” within a life sciences context. Life sciences translation is the adaptation of clinical documentation and MedTech materials across different languages. While the concept may seem relatively simple, it...
Webinar

Driving Strategic Change: General Counsel in Pharma

TransPerfect Legal Solutions hosted a panel of GCs and legal experts from prominent pharmaceutical companies to discuss their evolving roles and the practical ways legal departments are driving innovation as it relates to people, risk, and data in the pharma industry. ...