Scalp nerve block alleviates headaches associated with sonication during transcranial magnetic resonance–guided focused ultrasound

Medicine, Anesthesiology, Neurology, Neurosurgery, Medical Imaging, Life Sciences, Bioengineering, Biophysics,
headache   magnetic resonance-guided focused ultrasound   scalp nerve block  

In this academic paper, the authors attempt to address the common headache complication during magnetic resonance-guided focused ultrasound (mrgFUS) treatment. Headache is a common complication, and in severe cases, it may even cause patients to be unable to tolerate ultrasound radiation and terminate the treatment. There is currently no establishe...

A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions

A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions

Life Sciences, Cell Biology, Biochemistry, Bioengineering, Genetics,
language model   5' UTR   mRNA translation   protein expression   function prediction  

The 5’ untranslated region (5’UTR) is a regulatory region at the start of messenger RNA (mRNA) molecules, playing a crucial role in regulating the translation process and affecting protein expression levels. Language models have demonstrated effectiveness in decoding protein and genomic sequence functions. In this study, the authors introduce a lan...

Hyperbolic secant representation of the logistic function: Application to probabilistic multiple instance learning for CT intracranial hemorrhage detection

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Bioengineering,
multiple instance learning   gaussian processes   bayesian variational inference   intracranial hemorrhage detection  

There has long been a problem of “weak supervision” in the field of artificial intelligence, where only part of the labels are observable in the training data, while the remaining labels are unknown. Multiple Instance Learning (MIL) is a paradigm to address this issue. In MIL, the training data is divided into multiple “bags”, each containing multi...