The following is a summary of a story by Adriana Difranco on MADE FOR THIS. Chemotherapy drugs for brain tumors typically haven’t been able to get past the blood-brain barrier, says Duke neurosurgeon ...

Summary: Researchers introduced a deep-learning artificial intelligence capable of predicting the molecular classification of brain and spinal cord tumors in minutes using standard, universally ...

Brain tumors are one of the most devastating consequences of cancer’s spread—hard to treat and highly deadly. Scientists have found that using a radioactive implant precisely where a tumor was removed ...

High-precision liver and tumor segmentation is a cornerstone of digital oncology, yet its clinical deployment remains constrained by two persistent challenges: the scarcity of pixel-level annotations ...

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. We celebrated my twin son and daughter’s seventh birthday on November ...

New research from Peter Mac has uncovered why some parts of the brain may be more vulnerable to tumor growth than others, offering new clues into how brain cancers begin and how they could one day be ...

A brain tumor can strike anyone at any age, impacting a person’s very essence — everything from cognition and personality to movement and speech — if it’s fast-growing and aggressive. It can be the ...

Abstract: Accurate segmentation and classification of brain tumors from magnetic resonance imaging (MRI) are critical for effective diagnosis and treatment planning. This article proposes a novel ...

Abstract: Multimodal MRI (magnetic resonance imaging) provides critical complementary information for accurate brain tumor segmentation. However, conventional methods struggle when certain modalities ...

Brain cancer is one of the deadliest diseases — and early detection is crucial for better outcomes. There are obvious symptoms like sudden, severe headaches and dizziness, while subtle signs such as ...