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SciForce at UpToDate 5.0: Insights from Ukrainian Oncology Conference

The SciForce Medical team recently attended a major oncology conference in Ukraine. The two-day event in Kyiv brought together over 2,000 experts, including doctors, researchers, and industry leaders. It provided a great chance to learn about the latest advancements in cancer care and connect with potential partners. The conference had a busy schedule of sessions, workshops, and presentations on topics like cancer diagnostics,advanced treatments, and personalized care. Since we couldn’t attend e

Published: December 23, 2024
# AI / ML
# Big Data
# Data Science
# Healthcare
Synthetic Data: A Passing Trend or the Future of AI?

What if businesses could access unlimited, high-quality data without privacy risks or tedious preparation? Synthetic data is making this possible, offering a scalable, efficient alternative to real-world data. Gartner predicts synthetic data will surpass real data in AI model training by 2030, with the market growing from $351.2 million in 2023 to USD 2,339.8 million by 2030, at a CAGR of 31.1%. Data preparation is a major hurdle, with data scientists spending over 60% of their time cleaning and

Published: December 9, 2024
# AI / ML
# Big Data
# Data Science
Bridging Innovation and Collaboration in Healthcare: SciForce at OHDSI Symposium 2024

After an exciting time at the 10th Annual OHDSI Global Symposium at the Hyatt Regency in New Brunswick, NJ, SciForce is coming back with new energy! With over 470 experts gathered from around the world, our team, led by Polina Talapova, explored the latest tools and methods in OHDSI and OMOP. We tackled topics like data conversion, geospatial vocabularies, and Jackalope benchmarking, gaining valuable insights and sharing strategies to help move healthcare research forward. Educational Tutorial (

Published: November 8, 2024
# Healthcare
# Data Science
# Big Data
Say Goodbye to Equipment Failures: Top Predictive Maintenance Trends for 2025 to Reduce Production Downtime

Predictive maintenance (PdM) is quickly becoming a must-have for industries looking to avoid the headaches of unexpected equipment failures. Imagine a manufacturing plant where a critical machine breaks down suddenly, halting production and costing thousands of dollars per hour in lost output. PdM helps prevent these costly surprises by predicting when equipment might fail, reducing downtime, and keeping operations running smoothly. As more businesses realize the benefits of catching problems be

Published: September 24, 2024
# AI / ML
# Manufacturing
# Data Science
Step-by-Step Guide to Creating Your Own Large Language Model

LLMs are enabling computers to understand and generate human-like text, making them indispensable in industries ranging from customer service to content creation. The global market for LLMs is expected to skyrocket from $1.59 billion%20market%20size%20in%20terms%20of,79.80%25%20during%202024%2D2030.) in 2023 to $259.8 billion by 2030, with North America alone projected to hit $105.545 million by 2030. The dominance of the top five LLM developers, who currently hold 88.22% of the market revenue,

Published: September 4, 2024
# AI / ML
# Big Data
# Data Science
MLOps as The Key to Efficient AI Model Deployment and Maximum ROI

Ever wonder why so many machine learning (ML) models never see the light of day? Despite their huge potential, only 32% of data scientists say their models usually get deployed. Even more shocking, 43% report that 80% or more of their models never make it into production. This means many businesses miss out on the full value of their AI projects. Imagine a retail company spending months developing a sophisticated customer recommendation system, only for it to never be implemented—losing out on p

Published: August 7, 2024
# AI / ML
# Data Science
Turning Chaos into Clarity: Mastering Unstructured Healthcare Data with AI

Healthcare providers manage an enormous volume of data daily, approximately 137 terabytes, most of which is unstructured. This includes a wide array of formats such as medical images, clinical notes, and genetic test results. Unstructured data, crucial for patient care, poses significant challenges due to its complexity and the varied sizes of its components. The volume of healthcare data is rapidly increasing, fueled by the widespread adoption of electronic health records and advances in medica

Published: July 17, 2024
# Data Science
# Healthcare
How to Scale AI in Your Organization

According to WEKA's 2023 Global Trends in AI Report, 69% of organizations now have AI projects up and running, and 28% are using AI across their whole business. This shows a big move from just trying out AI to making it a key part of how companies operate and succeed. However, this is just the beginning as the major point is not to have only AI but to have it work to your benefit. Organizations have to address various challenges such as the collection of data, hiring the right skills, and fittin

Published: April 4, 2024
# AI / ML
# Computer Vision
# NLP
Top Computer Vision Opportunities and Challenges for 2024

Computer vision (CV) is a part of artificial intelligence that enables computers to analyze and understand visual information, both images and videos. It goes beyond plain “seeing” an image, but teaches computers to make decisions based on what they see. The AI-driven computer vision market is experiencing rapid growth, rising from $22 billion in 2023 to an expected $50 billion by 2030, with a 21.4% CAGR from 2024 to 2030. This technology imitates human vision but works faster using sophisticate

Published: March 8, 2024
# Computer Vision
# AI / ML
SciForce medical team attended  OHDSI Symposium 2023
2023 OHDSI GLOBAL SYMPOSIUM

Since 2015, Sciforce has been an active contributor to the OHDSI scientific community. Our medical team is consistently at the forefront of OHDSI events, sharing groundbreaking research and driving advancements in health data harmonization that empower better health decisions and elevate care standards. The fall event was no exception: from October 20 to 22 Polina Talapova, Denys Kaduk, and Lucy Kadets were delegated as our company representatives to the Global OHDSI Symposium with more than 440

Published: November 1, 2023
# Healthcare
# Data Science
# AI / ML