Computational imaging for rapid detection of grade-I cerebral small vessel disease (cSVD).

An early identification and subsequent management of cerebral small vessel disease (cSVD) grade 1 can delay progression into grades II and III. Machine learning algorithms have shown considerable promise in medical image interpretation automation. An experimental cross-sectional study aimed to develop an automated computer-aided diagnostic system based on AI (artificial intelligence) tools to detect grade 1-cSVD with improved accuracy.

Investigating artificial intelligence models for predicting joint pain from serum biochemistry.

Objective: The study used machine learning models to predict the clinical outcome with various attributes or when the models chose features based on their algorithms.

Methods: Patients who presented to an orthopedic outpatient department with joint swelling or myalgia were included in the study. A proforma collected clinical information on age, gender, uric acid, C-reactive protein, and complete blood count/liver function test/renal function test parameters.

The need for valproic acid as prophylaxis in neurosurgery patients.

Using anti-epileptic drugs in neurosurgery patients is a routine practice. This controlled trial aimed to assess whether prophylaxis with Valproate in brain surgery patients is justified or not. Group A (n=50; controls) patients received valproic acid postoperatively for three months, while group B (n=50; subjects) received a placebo.

Efficacy of azathioprine and methotrexate in patients with chronic inflammatory demyelinating polyneuropathy (CIDP).

The study examined the efficacy of various immunosuppressants in patients with chronic inflammatory demyelinating polyneuropathy. We compared the efficacy of Azathioprine and Methotrexate in the treatment of CIDP. Patients of either gender aged ≥18 years having chronic polyneuropathy progressive for at least 8 weeks having no serum para protein or any genetic abnormality and fulfilling the Koski criteria.

Death receptor pathway genes (Caspase and BID) expression analysis in cancerous cells in response to extracts of amla and turmeric.

Plant extracts antiproliferative effects were determined by using mammalian cells along the expression profile of Caspases 3, 8 and the BID gene of the death receptor-induced pathway. Two medicinal plants viz., Turmeric (Curcuma longa) and Amla (Emblica officinalis) extracts were examined for antiproliferative effect through Neutral Red-Dye uptake assay on Vero and MDA-MB 231 cell lines.

Gender bias and 'doctor brides'. A social dilemma of medical students in Pakistan.

Objective: To assess gender bias, discrimination and bullying at medical schools, and to explore the phenomenon of 'doctor brides'.

Methods: The multicentre survey was conducted at 14 medical education institutions across Pakistan from September 2020 to April 2021, and comprised medical students of either gender at both public-sector and private-sector institutions. The survey questions explored beliefs, experiences and knowledge related to common stereotypes and social issues in medical education, including female role models, work-life balance, gender roles, lack of support from family and faculty, and bullying.

Association of 25-hydroxyvitamin D with hematological profile and anthropometry in patients with glioma.

Objective: Gliomas are immune system suppressive tumors, and the role of vitamin D is pivotal in the immune system. This study aimed to observe if there is any significant association between the serum levels of 25-hydroxyvitamin D with hematological indices and anthropometric measurements.

Methods: A total of 75 glioma patients were included, and the information was collected on gender, age group, area, socioeconomic status, intake of vitamin D and calcium in food and supplements, skin color, sunlight exposure, body mass index, and muscle strength.

Machine learning models to predict neuropsychiatric disorders in various brain tumors.

Objective: Neuropsychiatric disorders in brain tumor patients are commonly observed. It is difficult to anticipate these disorders in different types of brain tumors. The goal of the study was to see how well machine learning (ML)-based decision algorithms might predict neuropsychiatric problems in different types of brain tumors.

Post-vaccination (COVID-19) impacts in healthcare personnel.

The COVID-19 pandemic has brought attention back to its spread in medical staff. A survey-based study was conducted to combine general information related to COVID-19 exposures, acceptances, vaccines received, and side effects. The majority (62.

The pncA gene mutations of Mycobacterium tuberculosis in multidrug-resistant tuberculosis.

The pncA gene encodes pyrazinamidase enzyme which converts drug pyrazinamide to active form pyrazinoic acid, but mutations in this gene can prevent enzyme activity which leads to pyrazinamide resistance. The cross-sectional study was carried out during 2016-2017 for 12 months. The purpose of the study was to detect mutation at codon 12 and codon 85 in the pncA gene in local multidrug-resistant tuberculosis (MDR-TB) patients by developing a simple molecular test so that disease could be detected timely in the local population.

Prediction of impacts on liver enzymes from the exposure of low-dose medical radiations through artificial intelligence algorithms.

Objectives: This study aimed to develop artificial intelligence and machine learning-based models to predict alterations in liver enzymes from the exposure of low annual average effective doses in radiology and nuclear medicine personnel of Institute of Nuclear Medicine and Oncology Hospital.

Methods: Ninety workers from the Radiology and Nuclear Medicine departments were included. A high-capacity thermoluminescent was used for annual average effective radiation dose measurements.

Less disease severity of COVID-19 among smokers: An indication of investigating nicotine as preventive measure.

The study was aimed to mention the epidemiology of smoking in Pakistani COVID-19 infected patients along with the disease severity, oxygen dependency and fatality rate. A cross sectional epidemiological study was carried out on 555 confirmed cases of COVID-19 infection. The median age was 47±16 years.

Clinical and biochemical indicators of disease severity and neurological findings in COVID-19: A study of King Edward Medical University (KEMU), Pakistan.

This study investigated the significance of difference between presence and absence of different neurological findings in COVID-19, in relation with the biochemistry. Various significant correlations in connection with the disease severity and clinical factors were also identified. 351 COVID-19 patients were included.

Improvement in the quality of patient notes: A report of a closed loop audit quality improvement project at a neurosurgical department in Pakistan.

Objective: To identify the deficiencies in patient note record-taking with the aim of improving the quality to meet international standards.

Methods: This prospective clinical quality improvement audit study was conducted at the department of Neurosurgery, Allama Iqbal Medical College, Jinnah Hospital Lahore from January 2019 to February 2020. The first audit cycle was carried out in July 2019, after data anonymisation, the notes from 1st January to 31st June were analysed in the first audit cycle against a hybrid proforma containing entries deemed essential in operative notes according to the guidelines of the Royal College of Surgeons of England.

Molecular detection of hupB gene of Mycobacterium tuberculosis in young patients with acute lymphoblastic leukemia (ALL) on Chemotherapy.

Cancer chemotherapy can lead to the mycobacterial infections. Tuberculosis has been reported a serious complication in leukemia patients who undergo chemotherapy. The study was focused to find mutations in hupB gene of M.

Assessment and prediction of restless leg syndrome (RLS) in patients with diabetes mellitus type II through artificial intelligence (AI).

This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes mellitus (DM) type-2, thorough artificial intelligence based multilayer perceptron (MLP). 300 cases of diabetes mellitus type-2, of age between 18-80 years were included. Point-biserial correlation/Pearson Chi-Square correlations were conducted between RLS and risk factors.

Effects of plants extracts on the expression of major genes of JAK/STAT pathway.

This study analyzed the effects of the plant extracts ( and on the growth of mammalian cells (Vero and MDA-MB-231) and evaluated the most effective plant extract for the expression of specific genes of the JAK/STAT pathway in human breast cancer cells. An antiproliferative bioassay involving neutral red-dye uptake was used to determine the anticancerous potential of plant extracts. In Vero cells, the ginger methanolic extract was least effective; whereas the lemon methanolic extract was more effective with 64 dilutions with IC 51.

Identification of significant risks in pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) approach.

Pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) technique was analyzed to determine the significance of clinical and phenotypic variables as well as environmental conditions that can identify the underlying causes of child ALL. Fifty pediatric patients (n = 50) included who were diagnosed with acute lymphoblastic leukemia (ALL) according to the inclusion and exclusion criteria. Clinical variables comprised of the blood biochemistry (CBC, LFTs, RFTs) results, and distribution of type of ALL, i.

Depression and dementia from hyponatremia in brain cancer patients exposed to frozen food chemicals.

Frozen food chemicals contain neurotoxins which disturb electrolyte levels. Altered electrolyte levels can induce mental illnesses. This study was focused on finding the prevalence of depression, dementia, intake of antidepressants and electrolytic alterations in brain cancer (BC) patients and in control group (CG) who were taking frozen and canned food.

Polymorphism of Interleukin-10 (IL-10, -1082 G/A) and Interleukin-28B (IL-28B, C/T) In Pediatric Acute Lymphoblastic Leukemia (ALL).

We conducted genotypic analyses of interleukin-10 (IL-10) (-1082 G/A; GG, GA, AA) and interleukin-28B (CC, CT, TT) genes polymorphisms in acute lymphoblastic leukemia (ALL) pediatric patients in descriptive study to evaluate the prevalence of these mutations. In amplification refractory mutation system-PCR (ARMS-PCR), one reaction was carried out for each patient's DNA sample. For IL-28B gene, two forward and two reverse primers specific for C-allele and T-allele were used separately.

Impacts of intake of bakery food chemicals, degraded water and psychiatric drugs on liver & renal functions of brain tumor patients.

A chemically preserved food has raised mental health issues. Abnormalities in liver and kidney functions have been reported from mentally imbalanced individuals. This study was focused on finding anxiety issues and biochemistry alterations in brain tumor patients and in controls.

Current Progress on Equilibrative Nucleoside Transporter Function and Inhibitor Design.

Physiological nucleosides are used for the synthesis of DNA, RNA, and ATP in the cell and serve as universal mammalian signaling molecules that regulate physiological processes such as vasodilation and platelet aggregation by engaging with cell surface receptors. The same pathways that allow uptake of physiological nucleosides mediate the cellular import of synthetic nucleoside analogs used against cancer, HIV, and other viral diseases. Physiological nucleosides and nucleoside drugs are imported by two families of nucleoside transporters: the SLC28 concentrative nucleoside transporters (CNTs) and SLC29 equilibrative nucleoside transporters (ENTs).

Synthesis and evaluation of solid lipid nanoparticles loaded with bovine serum albumin prepared by different methods.

.We evaluated the effect of different synthesis methods of solid lipid nanoparticles (SLNs) loaded with bovine serum albumin (BSA) on parameters including particle size, polydispersity index, loading capacity and % entrapment efficiency including release study. We investigated the binary fatty acids mixtures for test protein BSA.

Mutational analysis of gyrB at amino acids: G481A & D505A in multidrug resistant (MDR) tuberculosis patients.

Background: The MDR (multidrug resistance) tuberculosis is a serious public health concern. Fluoroquinolones are in use to treat tuberculosis, but M. tuberculosis strains have now become resistant due to several mutations in different genes.