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BIOTECHNOLOGY & PHARMA

Augmenting R&D Through Modern AI Methods

We're working to solve challenges in drug discovery, clinical trials, safety, and patient insights with state-of-the-art solutions and building data platforms.
Pharmaceuticals & Biotech
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Case Study 2 MIN
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Cancer Diagnosis from Blood Samples

Overview

SFL Scientific has expert domain knowledge and an intimate understanding of personalized medicine, -omics, drug and clinical data, deploying neural networks, and novel solutions to R&D type problems.

Our Recent Clients

USE CASES

Advancing Clinical Research & Patient Operations

SFL Scientific data scientists are in a position to help streamline operations with domain knowledge and an intimate understanding of personalized medicine, -omics, drug and clinical data, deploying neural networks and novel solutions to R&D type problems.

Biomarker Analysis for Clinical Trials

Depression is misdiagnosed and only about half of patients respond effectively to SSRI treatments. Therefore, the ability to identify patients accurately and create automated tools may significantly improve outcomes and advance therapeutic procedures.

Deep Learning

Document Pharmacovigilance

Developed an NLP machine learning engine that automatically extracted pertinent information and key medical terms and dependencies from clinical and drug documents in eight European languages for regulatory compliance and deployed as part of their software suite.

OCR & NLP

Named Entity Recognition Pipeline

SFL Scientific performed an exploratory data analysis and developed custom NLP-based text extraction models to examine medical prescription data. The information contained doctor, patient, and historical script attributes such as dosage, frequency, supply, etc.

Deep Learning

Call Center Adverse Event Triage & Decision Support

We helped build a system that leverages traditional machine learning, deep learning, and speech recognition techniques to create state-of-the-art models that support the organization in patient interactions, triage, analyze anomalies, trend information in trials, post-trials, safety management, and monitoring.

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AI APPLICATIONS

AI Applications For Pharmaceuticals & Biotech

SFL Scientific creates opportunities pharma and biotechnology organizations to deliver on ground-breaking drug discovery, diagnostic support, clinical trial and operational outcomes.

Labs and Production

  • Production line Tracking
  • Computer vision for QC
  • Sample Processing
  • Event Monitoring

Information Management

  • Custom OCT
  • Document Classification
  • Automated Review
  • Speech & Audio Analysis

Research & Development

  • Biomarker Analysis
  • Digital Trials
  • Patient Adherence
  • Precision Medicine

Clinical Trials

  • Measuring Drug Response
  • Site Enrollment Prediction
  • Trial Monitoring
  • Risk & Outlier Handling
  • Trial Risk/Performance

Creating a roadmap from concept to deployment

Most Pharmaceutical manufacturers know it’s not a question of whether or not to deploy AI solutions, but a matter of when and where to start.

Our US-based team of data scientists, consultants and engineers can guide you through the process of driving real business value with AI. We will work to understand your AI business cases,  identifying unique areas of innovation that require further research with proof of concept through building models and deploying sustainable, performant AI business applications at scale.

About Us
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WORK WITH US

Start a Project

We’d like to work with you to understand your unique AI challenge from modernizing legacy platforms to developing new AI solutions. Technology moves fast, let’s build sustainable solutions.

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Our Custom Strategy

Natural Language Processing

Statistical models, data mining, database management

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Predictive Analysis/Time-Series

It's critical to develop a plan to integrate the model, not just make a predictive score

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Data Engineering

Designing data architecture and best practices for secure, efficient, and cost-effective data and IT systems.

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