Healthcare, Pharmaceuticals & Biotechnology
The healthcare, pharmaceutical, and biotechnology sectors are undergoing rapid transformation, driven by medical innovations, digitalization, and the explosion of health data. From pharmaceutical companies to medical device manufacturers, industry players must rethink their research, clinical operations, and product engineering to increase speed and efficiency without compromising on quality or patient safety.
Key Issues in the Sector
01
Accelerate innovation and development cycles
Scientific and regulatory complexity requires shortening the time to market without compromising on quality. A wave of patent expirations is eroding revenues from blockbuster drugs, while developing a new molecule remains a lengthy, costly, and uncertain process. Renewing portfolios more quickly is becoming vital.
02
Leveraging Health Data and Scaling Up AI
Patient data, clinical trials, and new technologies require us to better structure, analyze, and leverage information. AI also automates document-intensive tasks such as medical and regulatory writing, trial reports, submission dossiers, and pharmacovigilance, while accelerating discovery through the preclinical phase. When used effectively, it can reduce the time and cost required to reach the preclinical phase by 25 to 50 percent.
03
Ensuring Compliance and Quality in a Highly Regulated Environment
From research to post-market surveillance, regulatory and ethical requirements demand complete traceability and rigorous process control. Faced with an increasingly stringent regulatory environment (medical devices, health data, AI), the challenge is to scale up quality assurance and regulatory monitoring so that they become an asset rather than an obstacle.
How does Astek get involved?
Astek combines expertise in CRO services, data, and engineering to support companies in the life sciences sector—from clinical research to healthcare platforms and medical devices. We help our clients accelerate innovation, leverage their data, and scale AI within a compliant, traceable, and secure framework.
Our References
Managed Services Focused on Leveraging Clinical Data
A managed service that enables the standardization of clinical data management, CDISC compliance, and regulatory submissions for clinical trials worldwide
Value Created
Expediting Regulatory Filings
AI & IoT Platform for the Pharmaceutical Industry
An AI and IoT platform that combines predictive maintenance, digital twins, and recommendation algorithms to improve a pharmaceutical company’s industrial operations and e-commerce performance
Value Created
+13% in revenue, +40% in average order value, and +30% in conversion rate
Cobots & Machine Vision for Medical Devices
Development of a robotic cell combining cobots, machine vision, IoT, and automation to assemble and inspect medical devices
Value Created
Reducing manufacturing defects and improving productivity
Advanced Analytics for Treatment Outcomes
For a global biopharmaceutical company, a suite of machine learning models that predict patient attrition, treatment efficacy, and the causal impact of marketing campaigns (multi-touch attribution, etc.), industrialized on a data platform (feature store, MLOps, explainable AI)
Value Created
Evidence-Based Optimization of Targeting and Retention Strategies
AI & Data Science Center of Excellence for R&D
An offshore delivery center specializing in AI and analytics, supporting R&D teams and covering GenAI, advanced statistics, R/Python development, and the industrialization of data science
Value Created
Accelerating and Optimizing the Financial Aspects of AI/Data R&D Projects
Survival Analyses for Cancer Research
For a global pharmaceutical company, survival analysis of an oncology drug using statistical models (Kaplan-Meier for survival curves, Cox proportional hazards model): ingestion of reimbursement data, stratification of patient cohorts, and multivariate analysis
Value Created
Comparison with competing molecules to better identify suitable patients
AI for Predicting Patient Dropout
Predicting Patient Dropout: A predictive model for patient dropout built using more than 400 variables drawn from reimbursement data, adverse events, CRM data, support programs, and coupons
Value Created
Improving treatment adherence and patient engagement
AI Assistant for Clinical Decision Support
Clinical decision support tool for healthcare professionals: extraction of relevant information from patient records and vital signs in real time, semantic similarity-based search and document generation, discharge summaries, diagnostic reports
Value Created
More time for healthcare providers and better-informed decisions
AI Agent for Automated Regulatory Monitoring
Design of an AI agent for regulatory monitoring: automated extraction (RPA) of content from official regulatory websites, a generative AI engine with document search capabilities, accessible via a software interface (API)
Value Created
Faster compliance, continuously updated, and multilingual
Digital Delivery Center for Healthcare R&D
Healthcare R&D partnerships managed through our delivery centers: more than 250 applications, websites, and bots delivered for companies in the pharmaceutical and life sciences sectors, with teams scaled up as programs progress
Value Created
Customer re-engagement rate of 86.5%
Added Value
Accelerated Clinical Trials
Better Use of Data
Reduced R&D costs
Enhanced Compliance
Our Specialized Subsidiaries
Our Articles
Five Best Practices for Implementing a Clinical Data Fabric (CDF)
A Clinical Data Framework (CDF) is a type of data architecture that enables pharmaceutical companies, medtech firms…
How digitalization improves clinical data management practice
Clinical trials generate a massive amount of data. In most cases, the challenge lies less in the volume of data to be processed than in its diversity.
Facilitate the mapping of data to the SDTM format through standardization and AI.
Our clients are mid-to-large size healthcare companies based in Europe, willing to fully embrace digital technologies.