Rasheed Zakaria

ORCID: 0000-0001-6826-2662
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Glioma Diagnosis and Treatment
  • Brain Metastases and Treatment
  • Meningioma and schwannoma management
  • Ferroptosis and cancer prognosis
  • Radiopharmaceutical Chemistry and Applications
  • Lung Cancer Research Studies
  • MRI in cancer diagnosis
  • COVID-19 and healthcare impacts
  • Head and Neck Surgical Oncology
  • Neurofibromatosis and Schwannoma Cases
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Lung Cancer Treatments and Mutations
  • Advanced Neuroimaging Techniques and Applications
  • Cerebrospinal fluid and hydrocephalus
  • Nanoplatforms for cancer theranostics
  • Trauma and Emergency Care Studies
  • Cardiac, Anesthesia and Surgical Outcomes
  • RNA modifications and cancer
  • Neurosurgical Procedures and Complications
  • Spinal Dysraphism and Malformations
  • Spinal Fractures and Fixation Techniques
  • Pituitary Gland Disorders and Treatments
  • Cancer Immunotherapy and Biomarkers
  • Neurology and Historical Studies

University of Liverpool
2016-2025

Walton Centre
2016-2025

University of Massachusetts Boston
2024-2025

Cadi Ayyad University
2025

Sup de Co Marrakech
2025

Boston University
2024

The University of Texas MD Anderson Cancer Center
2020-2023

Liverpool College
2023

Rashtrasant Tukadoji Maharaj Nagpur University
2023

Salford Royal Hospital
2023

In this paper, we develop a method based on deep learning in financial market prediction, which includes BRICS economies as the test cases. Financial markets are rife with volatility that is affected by "bed of complexity," coddled local and distal factors. To leverage these vast datasets both models such Convolutional Neural Networks (CNNs), Long Short Term Memory (LSTM) networks well hybrid architectures used study. The paper evaluates predictive accuracy models, so doing, identifies their...

10.32996/jefas.2025.7.1.1 article EN Journal of Economics Finance and Accounting Studies 2025-01-05
Conor Mallucci Michael D. Jenkinson Elizabeth J. Conroy John C. Hartley Michaela Brown and 95 more Joanne Dalton Tom Kearns Tracy Moitt Michael J. Griffiths Giovanna Culeddu Tom Solomon Dyfrig Hughes Carrol Gamble Benedetta Pettorini Christopher Parks Ajay Sinha Libby van Tonder M Foster Catherine McMahon Neil Buxton Emmanuel Chavredakis Andrew Brodbelt David Lawson Paul Eldridge Jibril Osman Farah Rasheed Zakaria Sunderland Geraint Guirish A. Solanki Desiderio Rodrigues Richard Edwards Adam Williams Matthew Garnett Angelos G. Kolias Peter Hutchinson Karen Caldwell Silvia Tarantino Paul Leach Malik Zaben Gulam Zilani Dmitri Shastin Joseph F. Merola Rahim Hussain Ravindra Vemaraju Liudmila Selezneva Georgina Radford Nadine Lloyd Darach Crimmins John Caird Maria N Sayar Noelle O'Mahoney D. Thompson Kristian Aquilina Greg James Roger Strachan Nitin Mukerji Bassel Zebain Bhaskar Thakur H G Dickson Eniola Nsirim Adedamola Adebayo John Goodden Kenan Deniz Janet Clarke Mary Kambafwile Ian Anderson Rebecca Chave-Cox Asim Sheik Ryan Mathew Oliver C. Richards Soumya Mukherjee Paul Chumas Atul Tyagi Gnanamurthy Sikakumar A.K. Toma Linda D’Antona Laurence Watkins Lewis Thorne Claudia Craven Vanessa Bassen Damian Holliman Ian Coulter Donald Macarthur M. Cartmill Simon Howarth Stuart Smith Shazia Javed Ian Kamaly Roberto Ramirez Andrew T. King Ardash Nadig John Thorne Shungu Ushewokunze Saurabh Sinha Hesham Zaki John McMullan Diederik Bulters Ryan Waters George Zilidis Joy Roach Ahmed Sadek

Insertion of a ventriculoperitoneal shunt for hydrocephalus is one the commonest neurosurgical procedures worldwide. Infection implanted affects up to 15% these patients, resulting in prolonged hospital treatment, multiple surgeries, and reduced cognition quality life. Our aim was determine clinical cost-effectiveness antibiotic (rifampicin clindamycin) or silver shunts compared with standard at reducing infection.In this parallel, multicentre, single-blind, randomised controlled trial, we...

10.1016/s0140-6736(19)31603-4 article EN cc-by-nc-nd The Lancet 2019-09-12

Study Design Retrospective study of a prospectively maintained database. Objective Our aim was to retrospectively review management and outcomes patients with low-grade hangman's fractures, specifically looking at differences in between collars halo immobilization. We also studied fracture patterns their treatment outcomes. Methods Forty-one fractures were identified from 105 axis 2007 2013. Typical defined as traumatic spondylolisthesis the causing bilateral pars interarticularis fracture....

10.1055/s-0035-1563404 article EN cc-by-nc-nd Global Spine Journal 2015-09-09

This paper aims to provide a systematic review of the state art in use deep neural networks (DNNs) medical imaging, an area that has been recently developed because emergence artificial intelligence (AI) and machine learning (ML). Deep Neural Networks including Convolutional (CNNs) Generative Adversarial (GANs) have shown excellence handling gigantic imaging data assisting diagnostics, treatment planning patient care. also focuses on breakthroughs DNNs different tasks classification,...

10.32996/jcsts.2024.6.5.9 article EN other-oa Journal of Computer Science and Technology Studies 2024-11-21

Diffusion-weighted MRI (DWI) has been used in neurosurgical practice mainly to distinguish cerebral metastases from abscess and glioma. There is evidence other solid organ cancers that DWI may be as a biomarker of prognosis treatment response. We therefore investigated characteristics their peritumoral region recorded pre-operatively related these patient outcomes.Retrospective analysis 76 cases operated upon at single institution with performed 1.5T. Maps apparent diffusion coefficient...

10.1186/1471-2342-14-26 article EN cc-by BMC Medical Imaging 2014-08-02

Abstract Anaplastic meningioma is a rare and aggressive brain tumor characterised by intractable recurrences dismal outcomes. Here, we present an integrated analysis of the whole genome, transcriptome methylation profiles primary recurrent anaplastic meningioma. A key finding was delineation distinct molecular subgroups that were associated with diametrically opposed survival Relative to lower grade meningiomas, tumors harbored frequent driver mutations in SWI/SNF complex genes, which...

10.1038/s41598-018-31659-0 article EN cc-by Scientific Reports 2018-09-04

Parkinson’s Disease (PD) is a serious chronic illness known to slow the motor function of human being as it affects movement and speech. There are significant benefits early diagnosis disorder essential that PD diagnosed possible. This paper assesses applicability stateof-art vocal features which Vocal Tract Length Normalization (VTLN), Empirical Mode Decomposition (EMD), Continuous Wavelet Transform (CWT) in combination with recent Machine Learning (ML) algorithm for identification PD....

10.32996/jcsts.2024.6.5.10 article EN other-oa Journal of Computer Science and Technology Studies 2024-11-21

The BRICS nations’ economies show that the countries are global financial powerhouses whose currency exchange rates and stock markets have influence globally. In this paper, analysis of forecast trends in both Currency Exchange Stock Markets using a dual layered machine learning approach exposing models such as Long Short Term Memory (LSTM), Random Forest, Gradient Boosting Support vector machines (SVM) is conducted. Their performance tested twice, first on then market data, to compare them...

10.32996/jefas.2025.7.1.3 article EN Journal of Economics Finance and Accounting Studies 2025-01-08

Isolated dislocations of the carpal scaphoid are extremely rare injuries, often associated with significant ligamentous disruptions. Consequently, treatment strategies can be conflicting and varied, ranging from closed reduction percutaneous fixation to open internal and/or reconstruction.Typically caused by high-energy trauma, these injuries frequently present alongside fractures. As a result, only few cases isolated have been reported in literature.We case 30-year-old male an dislocation...

10.1016/j.tcr.2025.101141 article EN cc-by-nc-nd Trauma Case Reports 2025-02-17

INTRODUCTION: Glioblastoma is the most common malignant primary brain tumor in adults. Post-operative MRI used to assess extent of resection, monitor treatment response and detect progression. However, compliance with accepted guidelines for follow-up MRI, impact on patient management outcomes unclear. METHODS: Multi-center, international, retrospective observational cohort study patients confirmed WHO grade 4 glioma (Operated August 2018-February 2019) receiving oncological treatment, May...

10.1227/neu.0000000000003360_502 article EN Neurosurgery 2025-03-14

Background. The optimal management of odontoid fractures in the elderly population is unclear and this group patients complicated by multiple co-morbidities. This study aimed to determine outcomes after conservative strategies were applied patient group. Methods. We carried out retrospective prospective analyses all with axial cervical spine injuries, at a single centre. included aged over 60 years type II III fractures. Information was gathered on demographics, ASA grading-associated...

10.3109/02688697.2014.958055 article EN British Journal of Neurosurgery 2014-09-18

The diagnosis of brain metastases is associated with a poor prognosis reflecting uncontrolled primary disease that has spread to the relative sanctuary central nervous system. 20 % occur in posterior fossa and are significant morbidity. risk acute hydrocephalus potential for sudden death means these often dealt as emergency cases. This approach full pre-operative assessment staging underlying may be neglected proportion patients undergo comparatively high surgery little or no survival...

10.1007/s11060-016-2254-2 article EN cc-by Journal of Neuro-Oncology 2016-09-12

In this paper, we explore the use of different machine learning models on predicting currency exchange rates among BRICS economies (Brazil, Russia, India, China and South Africa). With global economic uncertainties rising, forecasting trends becomes more accurate real time important for policymakers, businesses, investors. This study utilizes recent progress in ML algorithms, i.e. Long Short Term Memory (LSTM) networks ensemble method XGBoost, to analyze history rate data along with...

10.32996/jefas.2024.6.6.6 article EN Journal of Economics Finance and Accounting Studies 2024-12-24

Abstract Brain metastases are common and usually detected by MRI. Diffusion tensor imaging (DTI) is a derivative MRI technique that can detect disruption of white matter tracts in the brain. We have matched preoperative DTI with image-guided sampling brain–tumor interface 26 patients during resection brain metastasis assessed mean diffusivity fractional anisotropy (FA). The tissue samples were analyzed for vascularity, inflammatory cell infiltration, growth pattern, tumor expression proteins...

10.1158/0008-5472.can-17-1720 article EN Cancer Research 2017-12-06

OBJECTIVE Endoscopic third ventriculostomy (ETV) is an effective treatment for obstructive hydrocephalus and avoids the risk foreign-body infection associated with ventriculoperitoneal (VP) shunts. The short-term failure rate of ETV strongly depends on indications its use but generally thought to be lower in long term than that VP However, few studies are available long-term follow-up data children. authors reviewed success at their institution investigate any late failures this procedure....

10.3171/2015.11.peds15212 article EN Journal of Neurosurgery Pediatrics 2016-02-12
Coming Soon ...