AlpaPICO: Extraction of PICO frames from clinical trial documents using LLMs.

In recent years, there has been a surge in the publication of clinical trial reports, making it challenging to conduct systematic reviews. Automatically extracting Population, Intervention, Comparator, and Outcome (PICO) from clinical trial studies can alleviate the traditionally time-consuming process of manually scrutinizing systematic reviews. Existing approaches of PICO frame extraction involves supervised approach that relies on the existence of manually annotated data points in the form of BIO label tagging. Recent approaches, such as In-Context Learning (ICL), which has been shown to be effective for a number of downstream NLP tasks, require the use of labeled examples. In this work, we adopt ICL strategy by employing the pretrained knowledge of Large Language Models (LLMs), gathered during the pretraining phase of an LLM, to automatically extract the PICO-related terminologies from clinical trial documents in unsupervised set up to bypass the availability of large number of annotated data instances. Additionally, to showcase the highest effectiveness of LLM in oracle scenario where large number of annotated samples are available, we adopt the instruction tuning strategy by employing Low Rank Adaptation (LORA) to conduct the training of gigantic model in low resource environment for the PICO frame extraction task. More specifically, both of the proposed frameworks utilize AlpaCare as base LLM which employs both few-shot in-context learning and instruction tuning techniques to extract PICO-related terms from the clinical trial reports. We applied these approaches to the widely used coarse-grained datasets such as EBM-NLP, EBM-COMET and fine-grained datasets such as EBM-NLPrev and EBM-NLPh. Our empirical results show that our proposed ICL-based framework produces comparable results on all the version of EBM-NLP datasets and the proposed instruction tuned version of our framework produces state-of-the-art results on all the different EBM-NLP datasets. Our project is available at https://github.com/shrimonmuke0202/AlpaPICO.git.

Natural gums and their derivatives based hydrogels: in biomedical, environment, agriculture, and food industry.

The hydrogels based on natural gums and chemically derivatized natural gums have great interest in pharmaceutical, food, cosmetics, and environmental remediation, due to their: economic viability, sustainability, nontoxicity, biodegradability, and biocompatibility. Since these natural gems are from plants, microorganisms, and seaweeds, they offer a great opportunity to chemically derivatize and modify into novel, innovative biomaterials as scaffolds for tissue engineering and drug delivery. Derivatization improves swelling properties, thereby developing interest in agriculture and separating technologies. This review highlights the work done over the past three and a half decades and the possibility of developing novel materials and technologies in a cost-effective and sustainable manner. This review has compiled various natural gums, their source, chemical composition, and chemically derivatized gums, various methods to synthesize hydrogel, and their applications in biomedical, food and agriculture, textile, cosmetics, water purification, remediation, and separation fields.

Mechanistic Approaches to the Application of Nano-Zinc in the Poultry and Biomedical Industries: A Comprehensive Review of Future Perspectives and Challenges.

Bio-fortification is a new, viable, cost-effective, and long-term method of administering crucial minerals to a populace with limited exposure to diversified foods and other nutritional regimens. Nanotechnology entities aid in the improvement of traditional nutraceutical absorption, digestibility, and bio-availability. Nano-applications are employed in poultry systems utilizing readily accessible instruments and processes that have no negative impact on animal health and welfare. Nanotechnology is a sophisticated innovation in the realm of biomedical engineering that is used to diagnose and cure various poultry ailments. In the 21st century, zinc nanoparticles had received a lot of considerable interest due to their unusual features. ZnO NPs exhibit antibacterial properties; however, the qualities of nanoparticles (NPs) vary with their size and structure, rendering them adaptable to diverse uses. ZnO NPs have shown remarkable promise in bio-imaging and drug delivery due to their high bio-compatibility. The green synthesized nanoparticles have robust biological activities and are used in a variety of biological applications across industries. The current review also discusses the formulation and recent advancements of zinc oxide nanoparticles from plant sources (such as leaves, stems, bark, roots, rhizomes, fruits, flowers, and seeds) and their anti-cancerous activities, activities in wound healing, and drug delivery, followed by a detailed discussion of their mechanisms of action.

The role of the social sciences and humanities in pandemic preparedness responses: insights gained from COVID-19, HIV and AIDS and related epidemics.

The COVID-19 pandemic, particularly from 2020 to mid-2022, debilitated the management of the HIV epidemic in Africa. The multiple effects included well-documented HIV service interruptions, curtailment of HIV prevention programmes, the associated marked increase in both the risk for HIV infection among key populations and vulnerability of sub-populations (e.g. adolescent girls and young women) who are the focus of these programmes and - as importantly but less well-documented - the diverse negative socio-economic effects that accentuate HIV risk and vulnerability generally (e.g. loss of earnings, gender-based violence, stigma, police harassment of people during "lockdowns"). The global biomedical response to COVID-19 was necessary and remarkable for mitigating the bio-physical impacts of the pandemic (e.g. wide-spread surveillance coupled with rapid updates on the epidemiology of infections, rapid development of vaccines and revisions of treatment). However, drawing upon the widespread criticisms of state responses to the socio-economic effects of the COVID-19 pandemic and of "lockdowns" themselves, this article elaborates a core argument within those criticisms, namely that key lessons learnt during the HIV and AIDS and other pandemics were ignored, at least during the early stages of COVID-19. Our critique is that better integration of the social sciences and humanities in responses to pandemics can counter the reflex tendency to uncritically adopt a biomedical paradigm and, more importantly, to enable consideration of the social determinants of health in pandemic responses. At root, we re-assert a key value of 'integrated' interventions, namely the accommodation of context-sensitive considerations in the formulation of strategies, policies, plans and programme designs.

Mathematical Analysis for the Flow of Sickle Red Blood Cells in Microvessels for Bio Medical Application.

Sickle cell disease (SCD) is an inherited monogenic disease which is characterized by distorted red blood cells (RBCs) that cause vaso-occlusion and vasculopathy. In the pathogenesis of SCD, polymerized hemoglobin turn RBCs into fragile, less deformable cells, and are subsequently more susceptible to endothelial adhesion after deoxygenation. Presently, electrophoresis and genotyping are used as routine tests for diagnosis of SCD. These techniques are expensive and require specialized laboratories. Lab-on-a-chip technology is a low-cost microfluidics-based diagnostic tool which holds significant promise for rapid screening of RBC deformability. To explore the sickle RBC mechanics for screening purposes, we present a mathematical model for the flow of single RBC with altered rheological properties and slip effect on capillary wall in microcirculation. We consider single-file flow of cells through the axis symmetrical cylindrical duct, applying lubrication theory as plasma trapped between successive red blood cells. The rheological parameters used from published literature for normal RBC and corresponding variation has been taken for the purpose of this simulation to present the condition of the disease. An analytical solution has been found for realistic boundary conditions and results are simulated using MATLAB. We found that the height of plasma film in the capillary increases with increase in cell deformability and compliance which affects the forward flow velocity in the capillary. Rigid RBCs with increased adhesion between cell and capillary wall shows reduction in velocity and occurrence of vaso-occlusion events in extreme conditions. These rheological properties of the cells coupled with microfluidics mechanics can mimic the physiological condition and provides unique insights with novel possibilities for the design of microfluidics base diagnostic kit towards effective therapeutic intervention of SCD.

Geographical and temporal analysis of bio-medical waste management in India.

In India, a large quantity of bio-medical waste is generated by healthcare facilities. This study analyses the geographical and temporal variations in bio-medical waste management (BMWM) in India systematically. A comprehensive BMWM inventory of India's states and union territories for the period 2008-2017 was prepared and analysed. The objectives of this study were to analyse BMWM implementation geographically across the country to assess its performance, and to understand its policy implementation gaps over time. During 2008-2017, the total bio-medical waste generation increased from 409 to 558 Mg/day. Among all the states and union territories, Maharashtra, Karnataka, and Gujarat have the highest number of healthcare facilities. The quantity of waste generated is the highest in Karnataka, Maharashtra, Tamil Nadu, Uttar Pradesh, Kerala, Bihar, West Bengal, and Gujarat. The quantity of waste treated has also increased with the enforcement of the Bio-Medical Waste Rules (2016). The quantity of bio-medical waste treatment is highest in Karnataka and Maharashtra. This analysis will help to improve the practice of BMWM, and it can be used to bridge the gaps in effective and efficient management of bio-medical waste in India.

State-of-the-Art Light to Digital Converter Circuits Applicable in Non-Invasive Health Monitoring Devices to Combat COVID-19 and Other Respiratory Illnesses: A Review.

In the past few years, a tremendous advancement in the outcome of biomedical circuits and systems has been reported. Unfortunately, at the time of the sudden outbreak of COVID-19, the electronic engineering researchers felt dearth on their side to combat the pandemic, as no such immediate cutting-edge solutions were ready to recognize the virus with some standard and smart electronic devices. Likely, in this paper, a detailed comparative and comprehensive study on circuit architectures of the biomedical devices is presented. Mostly, this study relates the industry standard circuit schemes applicable in non-invasive health monitoring to combat respiratory illnesses. The trending circuit architectural schemes casted-off to tapeout non-invasive health-care devices available in the past literature are meticulously and broadly discussed in this study. Further, the comprehensive comparison of the state of art of the device performance in terms of supply voltage, chip area, sensitivity, dynamic range, etc. is also shown in this paper. The inclusive design processes of the health monitoring devices from Lab to Industry is thoroughly discussed for the readers. The authors think, that this critical review summarising all the trending and most cited health-care devices in a single paper will alternately help the industrialists to adapt and modify the circuit architectures of the health monitoring devices more precisely and straightforwardly. Finally, the demand for health monitoring devices particularly responsible to detect respiratory illnesses, measuring blood pressure and heart-rate is growing widely in the market after the the incident of COVID-19 and other respiratory diseases.

Virtual Methodology for Household Waste Characterization During The Pandemic in An Urban District of Peru: Citizen Science for Waste Management.

The Covid-19 pandemic has caused the alteration of many aspects of the solid waste management chain, such as variations in the waste composition, generation and disposal. Various studies have examined these changes with analysis of integrated waste management strategies; qualitative studies on perceived variations and statistical evaluations based on waste collected or disposed in landfills. Despite this information there is a need for updated data on waste generation and composition, especially in developing countries. The objective of this article is to develop a data sampling and analytical approach for the collection of data on household waste generation and composition during the pandemic; and, in addition, estimate the daily generation of masks in the study area. The proposed methodology is based on the principles of citizen science and utilizes virtual tools to contact participants, and for the training and collection of information. The study participants collected the information, installed segregation bins in their homes and trained their relatives in waste segregation. The article presents the results of the application of the methodology in an urban district of Lima (Peru) in August 2020. The results suggest an apparent decrease in household waste per capita and a slight increase in plastics composition in the study area. It is estimated that each participant generates 0.124 masks per day and 0.085 pairs of gloves per day. The method developed and results presented can be used as a tool for public awareness and training on household waste characterization and segregation. Furthermore it can provide the necessary evidence to inform policy directives in response household waste issues and Covid-19 restrictions.

Application of ArcGIS and QFD-based model for site selection for bio-medical waste disposal.

With the increasing formalisation of the health sector in India, the bio-medical waste (BMW) disposal regulations are getting stringent and its implementation is being enforced strictly. The coronavirus disease 2019 (COVID-19) created a healthcare crisis because of the highly contagious nature of the novel virus. Measures employed for the prevention and management of COVID-19 resulted in the generation of an unprecedented amount of BMW in Indian medical history. This BMW needs to be disposed of safely at a suitable site to prevent secondary infection and the potential spread of the virus in the environment. The selection of an appropriate site for BMW disposal requires comparing a wide range of social, economic and environmental factors corresponding to different site locations, which makes it a multi-criteria decision-making (MCDM) problem. This study aims to solve the BMW site selection problems using a quality function deployment-based model that can consider both the subjective and the objective criteria, and evaluate them as per the user's requirements. The proposed model is applied to evaluate the suitability of waste disposal sites in the city of Bilaspur in Chhattisgarh, India. At first, eight possible locations for BMW disposal are identified, while utilising geographical information system (GIS). Consequently, the developed model is applied to evaluate the identified sites, taking 18 relevant criteria into consideration. A software prototype is developed in Visual BASIC 6 to automate the entire decision-making process, further adding to the novelty of the work.

Assessment of bio-medical waste before and during the emergency of novel Coronavirus disease pandemic in India: A gap analysis.

Considering the widespread transmission of Coronavirus disease (COVID-19) globally, India is also facing the same crisis. As India already has inadequate waste treatment facilities, and the sudden outbreak of the COVID-19 virus has led to significant growth of Bio-medical waste (BMW), consequently safe disposal of a large quantity of waste has become a more serious concern. This study provides a comprehensive assessment of BMW of India before and during the COVID-19 pandemic. Additionally, this article highlights the gaps in the implementation of BMW rules in India. This study uses various government and non-government organizations, reports and data specifically from the Central Pollution Control Board (CPCB). The finding of the study demonstrated that most of the States/Union Territories (UTs) of India are lacking in terms of COVID-19 waste management. India has generated over 32,996 mt of COVID-19 waste between June and December 2020. During this period, Maharashtra (789.99 mt/month) is highest average generator of COVID-19 waste, followed by Kerala (459.86 mt/month), Gujarat (434.87 mt/month), Tamil Nadu (427.23 mt/month), Uttar Pradesh (371.39 mt/month), Delhi (358.83 mt/month) and West Bengal (303.15 mt/month), and others respectively. We draw attention to the fact that many gaps were identified with compliance of BMW management rules. For example, out of all 35 States/UTs, health care facilitates (HCFs), only eight states received authorization as per BMW management rules. Moreover, the government strictly restricted the practice of deep burials; however, 23 States/UTs are still using the deep burial methods for BMW disposal. The present research suggests that those States/UTs generated on an average of 100 mt/month COVID-19 waste in the last 7 months (June-December 2020) should be considered as a high priority state. These states need special attention to implement BMW rules and should upgrade their BMW treatment capacity.

A roadmap for bio-medical waste management research.

Bio-Medical waste is solid or liquid waste generated from healthcare activities. Bio-Medical waste management (BMWM) is necessary to protect local community health and environment, to reduce its financial loss and to preserve its social and aesthetic values. BMWM encompasses the waste generation, segregation, collection, transportation, processing and disposal. The BMWM system is complex and challenging. The research on BMWM must address the complexity for the solutions to be effective. We present an ontology of BMWM to visualize the complexity of the system and analyse it systematically. The research corpus of all the 184 articles from Scopus on BMWM is mapped onto the ontology. Ontological and theme maps are generated to highlight the emphases and gaps in the research. The results show the roadmap of BMWM research with the dominant emphasis on its functional elements and outcomes. There is little emphasis on the composition of the waste, the stakeholders and the policy instruments that guide and regulate the system. Correcting the biases in the present research corpus will help develop effective research and practice. This review results can be used to develop a roadmap for research to improve the BMWM system.

Flexible Ultra-Thin Nanocomposite Based Piezoresistive Pressure Sensors for Foot Pressure Distribution Measurement.

Foot pressure measurement plays an essential role in healthcare applications, clinical rehabilitation, sports training and pedestrian navigation. Among various foot pressure measurement techniques, in-shoe sensors are flexible and can measure the pressure distribution accurately. In this paper, we describe the design and characterization of flexible and low-cost multi-walled carbon nanotubes (MWCNT)/Polydimethylsiloxane (PDMS) based pressure sensors for foot pressure monitoring. The sensors have excellent electrical and mechanical properties an show a stable response at constant pressure loadings for over 5000 cycles. They have a high sensitivity of 4.4 kΩ/kPa and the hysteresis effect corresponds to an energy loss of less than 1.7%. The measurement deviation is of maximally 0.13% relative to the maximal relative resistance. The sensors have a measurement range of up to 330 kPa. The experimental investigations show that the sensors have repeatable responses at different pressure loading rates (5 N/s to 50 N/s). In this paper, we focus on the demonstration of the functionality of an in-sole based on MWCNT/PDMS nanocomposite pressure sensors, weighing approx. 9.46 g, by investigating the foot pressure distribution while walking and standing. The foot pressure distribution was investigated by measuring the resistance changes of the pressure sensors for a person while walking and standing. The results show that pressure distribution is higher in the forefoot and the heel while standing in a normal position. The foot pressure distribution is transferred from the heel to the entire foot and further transferred to the forefoot during the first instance of the gait cycle.

Walking through the wonder years of artificial DNA: peptide nucleic acid.

Peptide Nucleic Acid (PNA) serves as an artificial functional analog of DNA. Being immune to enzymatic degradation and possessing strong affinity towards DNA and RNA, it is an ideal candidate for many medical and biotechnological applications that are of antisense and antigene in nature. PNAs are anticipated to have its application in DNA and RNA detection as well as quantification, to serve as antibacterial and antiviral agents, and silencing gene for developing anticancer strategies. Although, their restricted entry in both eukaryotic and prokaryotic cells limit their applications. In addition, aggregation of PNA in storage containers reduces the quality and quantity of functional PNA that makes it inadequate for their mass production and storage. To overcome these limitations, researchers have modified PNA either by the addition of diverse functional groups at various loci on its backbone, or by synthesizing chimeras with other moieties associated with various delivery agents that aids their entry into the cell. Here, this review article summarizes few of the structural modifications that are performed with PNA, methods used to improve their cellular uptake and shedding light on the applications of PNA in various prospects in biological sciences.

Social and Bio-Medical Predictors of Exclusive Breastfeeding Among Nursing Mothers in Lagos and Taraba States, Nigeria.

PURPOSE: Although exclusive breastfeeding (EBF) is known to have positive consequences for mothers and infants, EBF rate in Nigeria is <25%. This study investigated if social factors were stronger predictors of EBF than bio-medical factors in the metropolitan areas of Lagos and Taraba States. Social factors included mother's education, infant sex, place of birth, and nature of mother's employment, while bio-medical factors included nature of birth (whether vaginal or caesarean section), problems with breast/nipple, breast milk insufficiency, and mother's age. DESIGN AND METHODS: The study adopted a cross-sectional survey design and mixed method of data collection. From the two states, 500 mothers with babies between 7 and 12 months of age completed a structured questionnaire. Twenty respondents from each state were interviewed using an in-depth interview guide. RESULTS: Education (ß = 1.743; p < 0.001), infant sex (ß = -0.454; p < 0.05), and place of delivery (ß = -1.552; p < 0.001) were significant social predictors. Breast milk insufficiency (ß = -1.851; p < 0.001) and mother's age (ß = 0.064; p < 0.001) were significant bio-medical predictors. When all the eight factors were considered, only two of the three social factors, namely, education and infants' sex, remained significant, while three bio-medical factors, namely, breast milk insufficiency, mother's age, and nature of delivery, were significant. CONCLUSIONS: Social and bio-medical factors co-determine the practice of EBF and must not be considered dichotomous. PRACTICAL IMPLICATIONS: Interventions to encourage EBF among Nigerian mothers must focus on education regarding its benefits and correction of misconceptions that breast milk alone is insufficient as an infant's diet.

Exploring the Role of xR in Visualisations for Use in Medical Education.

Emerging technologies have the potential to transform our approach to medical education. A goal in this chapter is to inspire researchers, educators and scholars in the bio-medical visualisation field who can benefit from integrating wearable Augmented Reality (AR) technologies, like the HoloLens into their existing teaching and learning environments. We draw from case studies, existing research and the educational technology literature, to propose the design of purposeful learner-centered experiences that might benefit from wearable AR technologies in the classroom.

How institutional forces, ideas and actors shaped population health planning in Australian regional primary health care organisations.

BACKGROUND: Worldwide, there are competing norms driving health system changes and reorganisation. One such norm is that of health systems' responsibilities for population health as distinct from a focus on clinical services. In this paper we report on a case study of population health planning in Australian primary health care (PHC) organisations (Medicare Locals, 2011-2015). Drawing on institutional theory, we describe how institutional forces, ideas and actors shaped such planning. METHODS: We reviewed the planning documents of the 61 Medicare Locals and rated population health activities in each Medicare Local. We also conducted an online survey and 50 interviews with Medicare Local senior staff, and an interview and focus group with Federal Department of Health staff. RESULTS: Despite policy emphasis on population health, Medicare Locals reported higher levels of effort and capacity in providing clinical services. Health promotion and social determinants of health activities were undertaken on an ad hoc basis. Regulatory conditions imposed by the federal government including funding priorities and time schedules, were the predominant forces constraining population health planning. In some Medicare Locals, this was in conflict with the normative values and what Medicare Locals felt ought to be done. The alignment between the governmental and the cultural-cognitive forces of a narrow biomedical approach privileged clinical practice and ascribed less legitimacy to action on social determinants of health. Our study also shed light on the range of PHC actors and how their agency influenced Medicare Locals' performance in population health. The presence of senior staff or community boards with a strong commitment to population health were important in directing action towards population health and equity. CONCLUSIONS: There are numerous institutional, normative and cultural factors influencing population health planning. The experience of Australian Medicare Locals highlights the difficulties of planning in such a way that the impact of the social determinants on health and health equity are taken into account. The policy environment favours a focus on clinical services to the detriment of health promotion informed by a social determinants focus.

The views of ethics committee members and medical researchers on the return of individual research results and incidental findings, ownership issues and benefit sharing in biobanking research in a South Indian city.

The return of individual research results and incidental findings from biobanking research is a much debated ethical issue globally but has extensive relevance in India where the burden of out of pocket health care expenses is high for the majority. The views of 21 ethics committee (EC) members and 22 researchers from Bengaluru, India, concerning the ethics of biobanking research were sought through in-depth interviews using an unfolding case vignette with probes. A shared view among most was that individual research results which are 'actionable' or have 'clinical significance' should be returned to the sample contributors through their treating physicians. This was seen as an ethical obligation and a moral duty on the side of the researcher to "give back" to the person who contributed to the research. The challenges foreseen were that of resources, both financial and personnel, for the time and counseling needed to accompany the disclosure of results. Perceptions of 'ownership' appear to influence the concept of benefit sharing. While benefit sharing in financial terms was considered ethically challenging, certain researchers and ethics committee members made a case for "two way altruism" where the researcher in return for the altruistic 'valuable contribution', shares with the contributor/ community, benefits of the research which could include research findings, improved patient care, and more affordable access to the new diagnostic tests or products arising from the research. This defines the emerging ethic of "giving back" which goes beyond individual rights and ensures reciprocity and distributive justice.

Micro and Nanostructured Materials for the Development of Optical Fibre Sensors.

The measurement of chemical and biomedical parameters can take advantage of the features exclusively offered by optical fibre: passive nature, electromagnetic immunity and chemical stability are some of the most relevant ones. The small dimensions of the fibre generally require that the sensing material be loaded into a supporting matrix whose morphology is adjusted at a nanometric scale. Thanks to the advances in nanotechnology new deposition methods have been developed: they allow reagents from different chemical nature to be embedded into films with a thickness always below a few microns that also show a relevant aspect ratio to ensure a high transduction interface. This review reveals some of the main techniques that are currently been employed to develop this kind of sensors, describing in detail both the resulting supporting matrices as well as the sensing materials used. The main objective is to offer a general view of the state of the art to expose the main challenges and chances that this technology is facing currently.

The Relationship between Sexual Cues and Sexual Desire in Women.

Sexual desire is one of the most studied dimensions of sexual response. There is extensive research on bio-medical, psychosocial, and relationship predictors of desire particularly in women. Despite this accumulated knowledge, there is a lack of studies investigating the ability of sexual cues to predict sexual desire. A sample of 546 heterosexual and premenopausal Portuguese women, aged between 18 and 53 years old, completed a web survey assessing socio-demographic variables, medical conditions, psychopathology, relationship dimensions, sexual cues and sexual desire. Findings from hierarchical regression analyses indicated that sexual cues significantly predict sexual desire. In particular, explicit/arousal cues (ß = .321, p < .001) were the most significant predictor of female sexual desire. Additionally, somatization (ß = .188, p < .001), relationship satisfaction (ß = .159, p < .001), anxiety (ß = -.165, p = .006), and antidepressant medication (ß = -.094, p = .014) were also significant predictors. Results emphasize the strong ability of explicit/arousal cues to predict sexual desire in women above and beyond other known factors. These findings suggest that the assessment of sexual desire problems in women as well as treatment approaches should take into consideration the role of sexual cues and particularly explicit/arousal cues.

Chitosan nanoparticle applications in dentistry: a sustainable biopolymer.

The epoch of Nano-biomaterials and their application in the field of medicine and dentistry has been long-lived. The application of nanotechnology is extensively used in diagnosis and treatment aspects of oral diseases. The nanomaterials and its structures are being widely involved in the production of medicines and drugs used for the treatment of oral diseases like periodontitis, oral carcinoma, etc. and helps in maintaining the longevity of oral health. Chitosan is a naturally occurring biopolymer derived from chitin which is seen commonly in arthropods. Chitosan nanoparticles are the latest in the trend of nanoparticles used in dentistry and are becoming the most wanted biopolymer for use toward therapeutic interventions. Literature search has also shown that chitosan nanoparticles have anti-tumor effects. This review highlights the various aspects of chitosan nanoparticles and their implications in dentistry.