Discover and read the best of Twitter Threads about #glioma

Most recents (4)

Patients with #glioma often experience altered cognition but it was unknown whether tumors remodel or destroy neuronal circuits in the human brain. New, open access #CancerNeuroscience paper: nature.com/articles/s4158….
In our study led by talented @NeurosurgUCSF post doc @SarithaKrishnaa and collaborators @michelle_monje, @DavidJBrang @LabRaleigh @AnnetteMolinar2, we found that glioblastomas remodel circuits.
Intraoperative recordings in awake people with left hemisphere #GBM show us that speech production activates glioma-infiltrated cortex, and GBM remodels speech circuitry so that producing speech activates all of the glioma-infiltrated cortex.
Read 8 tweets
[1/5] #Glioblastoma comprises 49.1% of all primary malignant brain tumors and approximately 12,000 cases are diagnosed each year in the US. A recent study In @JAMAOnc investigated whether the addition of an...
[2/5] autologous tumour lysate-loaded dendritic cell vaccine (DCVax-L) to the traditional standard of treatment (#surgery, #radiotherapy, and #chemotherapy) for glioblastoma prolonged survival.
#Neurology #Oncology #brain
[3/5] DCVax-L was found to be promising in extending survival for patients with newly diagnosed glioblastoma who are also receiving standard treatment for their disease.
#HealthcareNews #medicine #MedEd
Read 5 tweets
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities mdpi.com/1648502 #mdpicancers via @Cancers_MDPI @YaleRadiology
@MerkajSara @Ryan_Bahar are an outstanding team that wrote this exciting review on application of #ML to the study of #glioma imaging. After reviewing over 12,000 articles and extracting information from over 80 articles they published their systematic review in @FrontOncology.
But, there was so much more that needed to be discussed, so @MerkajSara & @Ryan_Bahar wrote an expert review of literature with focus on future directions. @YaleMed #Neurosurgery This review is a must read when starting out in #ML & #glioma imaging #Radiomics overview
Read 8 tweets
7 ways you damage your health by using mobile phones excessively

1. Headaches
2. Inattention
3. Sleep disturbance
4. Temper issues
5. Anxiety
6. Depression
7. Possible brain tumor

A thread 🧵

{Retweet!} Image
A mobile phone uses radiofrequency (RF) radiation to communicate with a nearby base station.

Once the station receives the signal from your phone, it is directed through the landline phone system.

If there's poor network, the phone increases its radiation level to compensate.
On averagely, the level of RF radiation from phones, to which your head is exposed, is about 100 to 1000 times more intense than exposure from base stations.

This means as you use a mobile phone excessively, your head constantly absorbs this RF radiation.
Read 12 tweets

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