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How AI in Oncology is Changing the Cancer Fight (Part 2)

AI is transforming cancer care in incredible ways, and understanding how its success is measured is key to assessing its impact. In this article, we’ll start with a quick, straightforward explanation of key AI metrics like AUC and Dice scores. Once that foundation is set, we’ll explore real-world research showing how AI is advancing early cancer detection, improving diagnoses, personalizing treatments, and even speeding up drug discovery. These examples demonstrate how AI is making cancer care m

Published: February 19, 2025
# AI / ML
# Healthcare
How AI in Oncology is Changing the Cancer Fight (Part 1)

Cancer remains one of humanity’s greatest challenges, but Artificial Intelligence (AI) is providing powerful tools to combat it. AI can detect cancer years earlier than traditional methods, personalize treatments to each patient, and accelerate the discovery of life-saving drugs transforming cancer care in real time. From identifying tiny tumors to predicting cancer progression, AI is revolutionizing every stage of care. By uncovering hidden patterns in large datasets and enabling tailored treat

Published: February 5, 2025
# AI / ML
# Healthcare
The Evolution of Java in 2025: Key Trends and Success Stories

Java remains a powerhouse in software development, with 30% of developers naming it their primary language and its continued ranking as the third most-used language on the TIOBE Index. What sets Java apart is its ability to stay relevant where it matters most: building cloud-native applications, integrating AI solutions, driving IoT innovation, and powering scalable microservices. As we move into 2025, advancements like GraalVM and Project Loom push Java to new heights, making it faster, more e

Published: January 23, 2025
# DevOps
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
Hot Topics at Interspeech 2024: The Latest in Technology of Spoken Language Processing

Our team recently attended the 25th Interspeech Conference, held from September 1st to 5th on Kos Island, Greece. This year’s theme, "Speech and Beyond," highlighted new developments in speech technology, focusing on areas like healthcare diagnostics, virtual assistants, and even animal sound recognition. It was a great opportunity for experts worldwide to share their work and discuss the latest trends. Here are some of the key topics and insights we gathered from the event. A major topic at the

Published: October 1, 2024
# AI / ML
# Speech Processing
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