Comparative Evaluation of Oral Health Status and Treatment Needs of Children With Autism Spectrum Disorder: A Cross-Sectional Study.

INTRODUCTION:  Oral health care is essential yet challenging in children with autism spectrum disorder (ASD) due to their impaired emotional and behavioral stability, lack of communication skills, and inability to perform daily home hygiene routines properly. The present study was planned with the aim of assessing the Oral Health Status and Treatment Needs of children with ASD in comparison with children without any systemic disease. METHODS: A total of 160 children, in the age group of 5-14 years, divided equally into two groups, i.e., Group A (children with ASD) and Group B (children without any systemic disease), were assessed for Dental caries, Oral Hygiene Status, and Treatment Needs. The behavior of children in each group, during oral examination, was also assessed and recorded. Student t test and Chi square test were used for quantitative and qualitative analysis, respectively. RESULTS: The mean age of participating children was 7.96±2.43 years with a male predominance (male to female ratio - 1.58:1). Children with ASD displayed more negative behavior with 15% showing definitely negative behavior, 21.2% negative behavior on Frankl's Behavior Rating scale; the statistically lower prevalence of dental caries (Group A - mean decayed, missing and filled primary teeth (dmft): 1.7±3.2, mean decayed, missing and filled permanent teeth (DMFT): 0.19±0.71; Group B - mean DMFT: 5.44±4.88, mean DMFT: 1.01±1.51; p=0.0001), better oral hygiene (Group A - 18.8% showed good Simplified Oral Hygiene Index Score (OHI-S), 56.2% showed fair OHI-S; Group B - 6.2% showed good OHI-S and 46.3% showed fair OHI-S) and lower treatment needs compared to children without any systemic disease. CONCLUSION:  Children with ASD showed better oral health and lower treatment needs. This suggests that introducing oral hygiene care and diet modifications in daily routine can significantly improve the Oral Health Status in children with ASD.

Visit to the Dentist for Oral Health Prevention at "Age One": A proposed policy report from the Indian perspective.

Early childhood caries is a major public health issue in India. The primary reason for poor oral health in children is a lack of awareness about the role of primary teeth and the importance of an early dental visit for infants and toddlers. The primary objectives of an early dental visit are to analyze the child's risk level, provide guidance to parents regarding proper oral hygiene measures, review dietary and eating habits, provide information regarding the infectivity of dental caries, review the risks of traumatic injuries and discuss factors which affect the development of occlusion. Through this paper, we are proposing an "Age One" policy that recognizes dentists, physicians, allied health professionals, community health-care workers, and nongovernmental organizations to work toward a child's overall health as partners to achieve this goal. The expectation is that this policy will provide guidance to childcare centers, pediatric dentists, other health-care professionals, and legislators regarding oral health activities and the promotion of oral health in infants. The purpose of the policy is to lay the foundation for a lifetime of preventive education and dental care, to help ensure optimal oral health beginning in childhood and continuing through the life course.

A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review.

BACKGROUND: Lung diseases, both infectious and non-infectious, are the most prevalent cause of mortality overall in the world. Medical research has identified pneumonia, lung cancer, and Corona Virus Disease 2019 (COVID-19) as prominent lung diseases prioritized over others. Imaging modalities, including X-rays, computer tomography (CT) scans, magnetic resonance imaging (MRIs), positron emission tomography (PET) scans, and others, are primarily employed in medical assessments because they provide computed data that can be utilized as input datasets for computer-assisted diagnostic systems. Imaging datasets are used to develop and evaluate machine learning (ML) methods to analyze and predict prominent lung diseases. OBJECTIVE: This review analyzes ML paradigms, imaging modalities' utilization, and recent developments for prominent lung diseases. Furthermore, the research also explores various datasets available publically that are being used for prominent lung diseases. METHODS: The well-known databases of academic studies that have been subjected to peer review, namely ScienceDirect, arXiv, IEEE Xplore, MDPI, and many more, were used for the search of relevant articles. Applied keywords and combinations used to search procedures with primary considerations for review, such as pneumonia, lung cancer, COVID-19, various imaging modalities, ML, convolutional neural networks (CNNs), transfer learning, and ensemble learning. RESULTS: This research finding indicates that X-ray datasets are preferred for detecting pneumonia, while CT scan datasets are predominantly favored for detecting lung cancer. Furthermore, in COVID-19 detection, X-ray datasets are prioritized over CT scan datasets. The analysis reveals that X-rays and CT scans have surpassed all other imaging techniques. It has been observed that using CNNs yields a high degree of accuracy and practicability in identifying prominent lung diseases. Transfer learning and ensemble learning are complementary techniques to CNNs to facilitate analysis. Furthermore, accuracy is the most favored metric for assessment.

Effective proliferation control of MCF7 breast cancer using microsecond duration electrical pulse.

BACKGROUND: Electro-permeablization using a pulse generator is a novel non-invasive approach for cancer therapy. It serves as a cell permeability enhancing agent for cancer treatment. OBJECTIVE: In this article in vitro investigation of the effect of 1.0 kV/cm, 1.5 kV/cm and 2.0 kV/cm, 50 µs duration pulsed electric field on MCF-7 cell line has been done. Furthermore, combinational therapy of curcumin and electrical pulses has been also investigated. MATERIAL AND METHOD: A variable voltage (100 V-1200 V, 100 V step) and 50 µs duration pulse generator has been designed, which is further used for the investigation of electroporation and destructive electrical field intensity. Investigation of the effect of electrical pulses on cancer cells has been performed using Trypan Blue Exclusion Test, MTT Assay and Clonogenic Assay. RESULTS: It has been observed that electrical field intensity of 2 kV/cm, 50 µsec duration, 10 pulses at repetition rate of 1 pulse per second corresponding to total energy of 4 J is more than enough for causing necrotic cell death due to permanent damage of cell membrane of the cancer cell. Also, it has been observed that electrical pulse application enhances curcumin uptake by cells. CONCLUSION: Electrical pulses can effectively inhibit the cancer cell growth and proliferation. Furthermore, observation shows that electroporation enhances the curcumin uptake, therefore, it can be used for therapeutic purposes.