Healthcare & Life Sciences

SFL Scientific creates opportunities for healthcare and life science organizations to deliver on ground-breaking medicine, diagnostic support, patient and operational outcomes.
Healthcare & Life Sciences

Overview

Healthcare and Life Science organizations have increasingly moved towards AI and data science solutions as they strive to innovate and improve patient care in a fast-paced, competitive and highly regulated environment.

Our Custom Strategy

Computer Vision

Performance monitoring (predictive analysis, time-series, machine vision)

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Natural Language Processing

Statistical models, data mining, database management

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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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We Work with Top Healthcare & Life Sciences Companies

Use Cases

Healthcare

The value of data is realized only when stakeholders buy-in into the diverse set of technologies emerging at the provider, payer, and patient level. Enabling data-driven insights and practical AI opportunities for healthcare organizations to deliver ground-breaking medicine and patient care requires expert data scientists.

Patient Modeling & Forecasting

Developed a time-series forecast model to predict patient volume, average wait time, membership/drop-out cancellation rates, and operational load requirements.

Time Series / Predictive Analytics

Document Transcription & Parsing

Developed a platform to ingest raw documents and then automatically classify, parse, and extract key terms and records from specific contracts & titles.

Deep Learning / OCR

Cancer Diagnosis from Blood Samples

Designed an AI capability to analyze data from MALDI and custom LC-MS/MS systems to determine whether patient samples tested positive for certain types of lung cancer.

Machine / Deep Learning

Forecasting Patient Survival with Device Data

Built pipeline to forecast patient survival likelihood based on vitals measurements and signals from implanted heart pump devices for surgical and clinical operations. Examined and modeled on 6,000 patient records, including 2,000 deaths.

Deep Learning / Time Series

Alzheimer’s disease detection and prediction of disease progression

SFL Scientific evaluated and developed a modern and sophisticated pipeline for Alzheimer’s disease detection and prediction of disease progression based PET scans and patient demographic data.

Computer Vision / Deep Learning

Predicting Multiple Sclerosis Transition

Built a machine-learning algorithm that predicts the transitions in patients’ MS stage from RRMS to SPMS using interval-based survey data.

Deep Learning / Time Series

Use Cases

Top Healthcare and Life Sciences AI Solutions

Data Science and AI have the ability to transform healthcare and life science institutions and start-ups. Capitalize on the advances being made to solve problems and enhance current healthcare modalities that improve patient care while reducing overhead costs.

Medical Imaging & Diagnostic Tools

  • Deep Learning for Radiology/Pathology
  • Disease & Anomaly Detection
  • Simulation & Surgical Applications
  • Virtual & Consumer Applications

Patient Insights & Analytics

  • Precision Medicine, Biomarkers
  • EMR & Records Mining
  • Segmentation & Risk Monitoring
  • Population Health & Journey

Medical Devices/IOT

  • Wearables & Remote Medicine
  • Event Triage & Monitoring
  • Predictive Health & Maintenance
  • Intelligent Diagnostic Systems

Organization Optimization

  • Fraud & Compliance
  • Supply Chain & Inventory
  • AI For Call Center / Triage
  • Claims & Document Management

The ability to couple large medical imaging datasets from our leading healthcare partners with the exceptional computational performance of the NVIDIA V100 GPUs and novel deep learning model development from SFL Scientific have been critical in building our portfolio of AI image classifier applications.

Jim Havelka, InformAI Founder & CEO

People Powered from Data Management to Custom Solutions and Deployment

Healthcare and Life science companies and institutions 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.

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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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