Diagnostic monitoring and modern technology based therapeutic strategies to manage the adverse effects
Tumor is a multifaceted, genetically complex disorder and the
complications are further increased, when couple with some serious neural
disturbances. 20-40% patients with brain tumor have been reported to suffer
from different types of seizures.
Brain tumor related epilepsy (BTRE) are the
most complicated neurological disorders for neuro-scientists and oncologists
that demand intense molecular strategies and therapies to tackle the entangled
cascade of neural network and at the same time there is need to understand the
abnormal cellular architecture of cancerous cells in the brain. BTRE has also
acquired multiple drug resistance (MDR) behavior, thus makes a challenge-able
choice of anti-epileptic drug for physicians and also has adverse effect on the
quality of life of the patients.
With the emergence of technological revolution in the modern
clinical world, the onset of Nano-biotechnology and artificial intelligence has
gain lot of interest and practical acceptance among scientific community.
Recently couple of studies have been reported to use artificial neural network
(ANN) for more precise diagnosis of epilepsy and to understand the clinical
impact of human mutations with deep neural network system. There is a need to
get maximum benefits from these emerging fields in parallel with biological
advancements for the implication of treatment.
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