Knowledge and awareness of precision medicine among dental students

Precisionmedicine is an emerging approach for the treatment of diseases and prevention that takes into account individual variability in genes, environment and lifestyle of a person. Although the term precision medicine is relatively new, the concept has been a part of healthcare for many years. This study focuses especially to evaluate the knowledge on characteristics of precision medicine among dental students. The aim of this study is to analyse the knowledge and awareness of Precision medicine among dental students. A descriptive cross-sectional survey was conducted among dental students through a self-administrated questionnaire. The responses had been collected and statistically analysed. 61% of the study population were aware of Precisionmedicine and surprisingly, 82%of the respondents came across this term precisionmedicine. This study concludes that the dental students were aware of the termprecisionmedicine, but theywere notwell aware of the role of precision medicine in the medical ield.


INTRODUCTION
Precision medicine is the personalization of healthcare, with medical procedures, therapies, methods or products being personalized to the particular patient rather than one medication that its all models. Indeed it refers to tailoring medical care to a patient's particular characteristics. Personalized medicine is a modern health-care ield that puts together genetics, large data and public wellbeing.
From the beginning of the era, health care professionals have been trying to make their activities more successful for their patients by experimenting with new procedures, studying and communicating their outcomes, and by making the experiences of previous generations more available. Many researches have been conducted in favour of social insurance understudies in biobanking and biospecimen gifts. Many investigations were made to assess the information on precision medicine to analyse the given biospecimens and the variable inspecting their mentalitie (Zhang et al., 2013). The accuracy medication idea vows to accomplish a move to future social insurance frameworks with an increasingly proactive and persistent way to deal with medication. The individualisation of treatment for every patient will be at the focal point of this methodology, with the entirety of the patient's clinical information being computationally incorporated and available (Hood and Auffray, 2013). To accomplish these objectives, exactness medication means to create computational models that coordinate information from both centre and essential research to increase robotic comprehension (Sharma, 2020). The complexities of the components that constitute precision medicine do not detract from what the implementation of precision medicine may mean for individual patients. Genome sequencing has great potential for enhancing patient care through improved diagnostic sensitivity. Genomics strategies developed for genetic discovery, including DNA sequencing technologies and analytical algorithms, need to be adapted to suit speci ic clinical needs in order to improve and maximize potential (Circulation, 2020). Metabolomics plays an important role in precision medicine through the development of personalised phenotyping and individualised drug response monitoring (Tsien, 2020;Liu and Locasale, 2017;Clift, 2015). The new ield of precision medicine aims to provide the best possible treatment for every patient on the basis of strati ication into a disease classi ication with a speci ic biological basis for disease (Gehlert, 2016). Radiation oncology has a high potential to show the effectiveness of precision medicine in oncology. It enables the further (Re et al., 2018;Deluche et al., 2015). Developing speci ic medication to treat metastatic breast cancer is an enticing idea, but signi icant research and practical dif iculties impede its clinical adoption (Ganesan and Hirshield, 2019;Arnedos et al., 2015;Andre et al., 2014). However, the knowledge and awareness of precision medicine seem to be good among dental students. Hence, this study was conducted to assess the awareness about Precision medicine among dental students. In the emphasis on precision medicine in the decade ahead, we can say that advances in thyroid pathophysiology will help us re ine the assessment of individual patients to determine whether their thyroid function test or imaging indings are really helpful in clinical manifestations (Samuel and Devi, 2015). Obesity (Fathima, 2016) is a common health issue where it affects the women in the reproductive age and is associated with multiple adverse reproductive outcomes, but the mechanisms involved are largely unknown (Baheerati and Devi, 2018;Fathima, 2016) most of the habits of today's lifestyle to be sedentary (Harsha et al., 2015). Precision medicine plays a key role in pathogenesis and novel drugs for treating asthma (Dave and Preetha, 2016) diseases like muscular dystrophy can be treated by using advanced techniques like precision medicine (Abigail, 2019). Physical itness reduces the stress of obesity risk factors as it can be dealt with precision medicine (Shruthi and Preetha, 2018) Precision medicine deals with advanced chronic liver disease (Choudhari and Jothipriya, 2016;Iyer et al., 2019) evaluation of ade-noids, acupuncture and back pain (Renuka and Sethu, 2015) and peak expiratory low rate (Timothy et al., 2019;Swathy and Sethu, 2015;R and G, 2018) affects the sleeping patterns (Rj and R, 2016). The aim of the present study is to analyse the knowledge and awareness of Precision medicine among dental students.

MATERIALS AND METHODS
A descriptive cross-sectional study was carried out to analyse knowledge, attitude and practice among dental students based on parameters including undergraduates and post graduates. Approval was obtained from the institutional review board. The survey was conducted among 100 dental students. The study participants include undergraduates and postgraduate students. Undergraduate students were grouped into irst-year and second-year students, third-year and fourth-year students, interns. A self-administered questionnaire of 15 closedended questions was prepared and distributed among dental students through online based survey forms "google forms". A self-administrated questionnaire was prepared. The responses were collected, tabulated in the excel sheet and analysed. Data entered in SPSS and the results were represented in a Bar graph. Chi-square test was used to analyse and compare the educational level of students and their knowledge and awareness on precision medicine.

RESULTS AND DISCUSSION
The survey included all undergraduates and postgraduates of dentistry, including senior residents. The survey was circulated; 100 responses were obtained. 81% of the study population had come across the term precision medicine. 61% of them are aware of precision medicine and it's used. 90% of the study population think precision medicine and accurate medicine are the same terms. 71% of the study population assume that precision medicine is affordable by all. 70% of respondents are sure about precision medicine which plays a major role in diagnosing cancer. 72% of the respondents assume that precision medicine is customised treatment for an individual patient. They even feel that this kind of treatment creates the biggest impact in the medical ield. 76% of the study population are aware that precision medicine is related to genetics. 77% of the population believe that precision medicine is herbal medicine. 76% of the respondents assume that precision medicine engages high powered computational tools to integrate advanced biomedical research. 70% of them responded and they do support that every child should undergo molecular genetic testing for precision medicine. 70% of the study population believe that customization of nutrition will play a signi icant role in precision medicine.

Figure 2: Bar chart represents the association between students' year of study and the awareness of precision medicine and its uses.
Precision medicine actually allows doctors to select treatments based on genetic understanding of the patient's disease and to create personalised treatment plans. So, to have an awareness of the Precision medicine survey has been conducted to analyse the data and ideas of the respondents. 33% of the interns were aware of the term precision medicine. Pearson Chi-square value-4.379, p-value-0.223 (<0.05) -not signi icant. Student's year of study

Figure 4: Bar chart represents the association between students' year of study and affordability of precision medicine.
was not signi icantly associated with the awareness of the term precision medicine [ Figure 1]. In the present study, 20% of the study population belonging to in terms have answered that they are aware of precision medicine and its uses, whereas other category populations do not agree to the statement. (p>0.05) which is statistically signi icant [ Figure 2]. In the present study, 38% of the interns thought that precision medicine and accurate medicine are the same terms. Pearson chi-square test value 1.581, p-value 0.664(>0.05) and statistically insigni icant. Student's year of study was not signi icantly associated with awareness of the difference between precision medicine and accurate medicine [ Figure 3]. In the present study, 28% of the interns felt pre-  cision medicine is affordable by all. Pearson chisquare test 1.681, p-value 0.641(>0.05) which is statistically insigni icant. Student's year of study was not statistically associated with the affordability of precision medicine [ Figure 4]. 27% of the interns felt precision medicine plays an important role in diagnosing cancer. Pearson chi-square test value 2.745, p-value 0.433(>0.05) which is statistically not signi icant. Student's year of study was not signi icantly associated with the role of precision medicine in diagnosing cancer [ Figure 5]. 30% of the interns felt precision medicine would create the biggest impact in the medical ield. Pearson chi-square test value 3.107, p-value 0.375(>0.05) which is not signi icant [ Figure 6]. In the present  study, 31% of the interns felt precision medicine is related to genetics. Pearson chi-square test value 0.495, p-value 0.920(>0.05) which is statistically not signi icant [ Figure 7]. In the present study, 35% of the interns felt precision medicine is related to herbal medicine. Pearson chi-square value 3.503, p-value 0.320(>0.05) which is statistically not signi icant [ Figure 8]. 30% of the interns felt precision medicine engages high powered computational tools that integrate advanced biomedical research.  Pearson chi-square value 2.196, 0.533(>0.05) which is statistically not signi icant [ Figure 9]. 34% of the interns felt every child should be subjected to molecular genetic testing. Pearson chi-square test value 9.015, the p-value 0.029(<0.05) which is statistically signi icant [ Figure 10]. 30% of the interns felt customisation of nutrition plays a signi icant role in precision medicine. Pearson chi-square test value 5.828 the p-value 0.120(>0.05) which is statistically not signi icant [ Figure 11].

CONCLUSIONS
From the present study, it is evident that all dental students were aware of the term precision medicine and the lack of awareness of its potential applications. This study highlights the need for awareness about the use of precision medicine in various ields among dental students emphasizing it in dental education programs.