Artificial intelligence
Researchers from Saarland University Medical Center have successfully applied artificial intelligence (AI) to a previously analyzed dataset of liver cancer markers, achieving an improved detection accuracy of 88.2%. The team, led by Miroslaw T. Kornek, revisited a legacy dataset and combined it with modern AI-assisted analytical strategies, incorporating both
Artificial intelligence
Researchers from Saarland University Medical Center have successfully applied artificial intelligence (AI) to a previously analyzed dataset of liver cancer markers, achieving an improved detection accuracy of 88.2%. The team, led by Miroslaw T. Kornek, revisited a legacy dataset and combined it with modern AI-assisted analytical strategies, incorporating both
Cancer diagnosis
Recent research on skin cancer diagnosis has demonstrated the efficacy of deep learning (DL) algorithms in accurately detecting and classifying skin cancer. A comprehensive review of various neural network architectures was conducted, highlighting the potential of Generative Adversarial Network (GAN) to achieve an accuracy rate of 98.5%. This breakthrough
Breast cancer
The World Health Organization (WHO) is proud to announce the launch of a new online learning course, titled "Using the IARC Atlas of Breast Cancer Early Detection," in collaboration with the European Society for Medical Oncology (ESMO). This course is designed for primary health-care professionals, community workers, radiology
Cancer diagnosis
A nationwide video campaign, 30 Stories, 30 Days, has been launched by the Kenner Family Research Fund (KFRF) and Entertainment to Affect Change (E2AC) to highlight the critical role of primary care providers in identifying pancreatic cancer early and improving patient survival rates. The campaign will release a video story
Cancer diagnosis
Amy Scanlon, a 31-year-old woman from Holywood, was given a breast cancer diagnosis while carrying her first child. Initially thinking the lump was due to hormonal changes following fertility treatment, Amy's world was turned upside down when she discovered she was pregnant. She was nine weeks pregnant at
Cancer diagnosis
Amy Scanlon, a 31-year-old woman from Holywood, was given a breast cancer diagnosis while carrying her first child. Initially thinking the lump was due to hormonal changes following fertility treatment, Amy's world was turned upside down when she discovered she was pregnant. She was nine weeks pregnant at
Cancer
Bowel cancer detection rates in Wales have witnessed a significant surge over the past four years, with an increase from 211 cases detected in 2020-21 to 457 in 2023-24. This stark rise is attributed to the Welsh government's decision to lower the screening age from 60 to 50
Cancer
Ben Weedon, a 50-year-old fire service veteran and ultra-marathon runner, has been diagnosed with Stage 2 Prostate Cancer, but has since made a good recovery after undergoing surgery. Recognizing his fortunate position, Ben wants to give back to the community that supported him throughout his journey. He will be participating
Cancer
Research from Huazhong Agricultural University has published a comprehensive database, cfMethDB, dedicated to circulating cell-free DNA (cfDNA) methylation in cancer. The database integrates 4828 publicly available datasets and identifies 1,048,770 differentially methylated cytosines (DMCs) as candidate biomarkers across seven cancer types. This breakthrough has the potential to significantly
Cancer
Researchers from Hawler Medical University have made significant breakthroughs in the field of personalized medicine by exploring the integration of artificial intelligence (AI) with RNA biomarkers in cancer diagnostics and therapeutics. The study suggests that AI-powered approaches can efficiently analyze complex RNA expression patterns, discover novel biomarkers, and explain their
Cancer
Researchers at the Fujian Provincial Maternal and Children's Hospital in China have made a significant breakthrough in the diagnosis of endometrial cancer. A new study published in the Journal of Ultrasound in Medicine has developed and validated an ultrasonography-based machine learning model for predicting malignant endometrial and cavitary
