Utilization of Bioinorganic Nanodrugs and Nanomaterials for the Control of Infectious Diseases Using Deep Learning.

As one of the main causes of morbidity and mortality, viral infections have a major impact on the well-being and economics of every nation in the globe. The ability to predictably diagnose viral infections improves the provision of good healthcare as well as the control and prevention of these conditions. Nanomaterials have gained widespread usage in the medical industry recently due to the rapid advancement of nanotechnology and their exceptional chemical and physical qualities, such as their small size and synthesized surface properties. The utilization of nanoparticles for illness detection, surveillance, control, preventive, and therapy, such as the treatment of bacterial infections, is referred to as nanomedicine. Nanomedicine is a comprehensive discipline that is founded on the usage of nanotechnology for clinical objectives. Nanoparticles, which have a nanoscale dimension and exhibit highly controllable optical and physical characteristics as well as the ability to bind to a large variety of chemicals, are among the most popular nanomaterials in nanomedicine. A deep learning framework of autoencoder for categorization study on viral infections is built based on actual hospital patient history of viral infections from August 2015 to August 2020. The information comprises of 10,950 cases, comprising outpatients and inpatients, encompassing the infectious diseases. Of such 10,950 instances, training set made up 70% or 7665 instances, and testing data made up 30% or 3285 instances. The data processing was done using the presented recurrent neural network-artificial bee colony (RNN-ABC) method. Sparse data densifying processes are done through the autoencoder to enhance the system learning outcome. The suggested autoencoder system was also evaluated to other widely used models, including support vector machine, logistic regression, random forest, and Naïve Bayes. In comparison to other approaches, the study's findings demonstrate how well the suggested autoencoder model can predict viral diseases. The methods used for this research can aid in removing reported lags in current monitoring systems, hence reducing society's expenses.

Unraveling a cephalalgic quagmire from a cavern to a cave.

Headache in women in their late forties can be primary or secondary. We report a 48-year-old female with chronic slowly progressive left temporal headache for 1 year. She also had ipsilateral eye pain and facial numbness for 1 month, with restricted abduction in the left eye and diplopia. On neurological examination, she had isolated left abducent nerve palsy, with loss of corneal and conjunctival reflexes, localizing the pathology to the cavernous sinus or its adjacent structures. Anatomically, cranial nerves V and VI are in close proximity to each other in the region of Meckel's cave. In view of her age, insidious onset, progressive symptoms and clinical findings, the provisional diagnosis in this patient was a Meckel's cave tumor. Magnetic resonance (MR) imaging revealed a 2 cm × 2 cm × 1.7 cm enhancing dumb-bell-shaped mass lesion with mild restricted diffusion in the Meckel's cave projecting into cavernous sinus with alanine, myoinositol and glutamine peaks on MR spectroscopy. Intradural debulking was done; lesion was confirmed by histopathology and patient was cured of her symptoms. An algorithm for diagnosing this entity at the bedside is presented.

Cervical extradural and extraspinal ependymoma mimicking dumb-bell schwannoma: an unusual tumor.

Ependymomas are common in intramedullary location and extradural location of the spinal cord is very rare. A few cases in the lumbosacral region have been reported. This report presents a cervical dumb-bell ependymoma with a small intraspinal extradural component and a large extraspinal component in the posterior triangle of the neck. The tumor was excised in two stages. This is probably the first such case report in the cervical region in the world literature. Possible histogenesis of ependymoma in this location is also discussed.