United States

Background

China has the largest population of older people and the largest number of Parkinson’s disease (PD) cases in a single country, but little is known about the determinants of PD in the Chinese population. Previous studies have reported different incidence rates of PD in Asian compared with Western populations, but few studies have assessed the determinants of PD in Asian populations. Prospective studies, conducted in Western populations, have also reported discrepant results for the associations of cardiovascular disease (CVD) risk factors with PD, with inverse associations with smoking, but positive associations with other CVD risk factors. Thus, the objectives of this study were to compare the risks of Parkinson&#39;s disease among those with versus those without prior stroke or heart disease at baseline in a prospective study of 0.5 million adults in China, and to examine associations of cardiovascular disease risk factors (cigarette smoking, hypertension, diabetes, obesity) with risk of PD.

Methods

During an average of 11.5 years of follow-up of 503,497 middle-aged participants in the China Kadoorie Biobank study, 603 incident cases were hospitalized with a diagnosis of PD. Cox proportional hazards models were used to assess associations of history of heart disease or stroke with PD in all participants, and of cardiovascular disease risk factors with PD in a subset without prior cardiovascular disease.

Results

In this population, the incidence rate of PD (mean [SD] age of cases, 61 [10] years) was 13.3 (95% confidence interval: 12.3–14.4) per 100,000 person-years. Incidence increased with age, and was higher in men than in women, and in urban than in rural residents. Prior stroke was associated with about twofold higher risk of PD (hazard ratio 1.94; 1.39–2.69). After adjustment for confounders in those without prior cardiovascular disease, a 5 kg/m2 higher body mass index was associated with 17% (1.17; 1.03–1.34: P = 0.019) higher risk of PD, but neither hypertension, diabetes, nor current cigarette smoking was significantly associated with PD.

Conclusion

Prior stroke and adiposity were each associated with higher risks of PD, but none of the other cardiovascular disease risk factors were significantly associated with PD in this population.

AMA Research Challenge 2022

Cardiovascular risk factors and Parkinson&#39;s disease in 500,000 Chinese adults

The Inter-University Big Data Challenge (IUBDC) is an inquiry-driven experiential learning program that invites graduate and undergraduate students from across the country to strengthen their problem-solving and critical thinking skills while gaining familiarity with the fundamentals of data science. The IUBDC fosters scientific inquiry, pioneering thinking, and a solution-focused mindset to drive innovative ideas in the field of the challenges’ topics.

Leveraging Open Data Analytics And Machine Learning To Improve Diagnosis Of Rare Diseases, Patients’ Care And Support

National Inter-University Big Data And AI Challenge 2023 - 

Please find student Open Data and computational science and machine learning finalist projects that are sustainable by design to enhance our understanding of rare diseases, help people affected by the disease to adapt to their lifestyle and reduce their risk of suffering from the disease.

Background

China has the largest population of older people and the largest number of Parkinson’s disease (PD) cases in a single country, but little is known about the determinants of PD in the Chinese population. Previous studies have reported different incidence rates of PD in Asian compared with Western populations, but few studies have assessed the determinants of PD in Asian populations. Prospective studies, conducted in Western populations, have also reported discrepant results for the associations of cardiovascular disease (CVD) risk factors with PD, with inverse associations with smoking, but positive associations with other CVD risk factors. Thus, the objectives of this study were to compare the risks of Parkinson's disease among those with versus those without prior stroke or heart disease at baseline in a prospective study of 0.5 million adults in China, and to examine associations of cardiovascular disease risk factors (cigarette smoking, hypertension, diabetes, obesity) with risk of PD.

Methods

During an average of 11.5 years of follow-up of 503,497 middle-aged participants in the China Kadoorie Biobank study, 603 incident cases were hospitalized with a diagnosis of PD. Cox proportional hazards models were used to assess associations of history of heart disease or stroke with PD in all participants, and of cardiovascular disease risk factors with PD in a subset without prior cardiovascular disease.

Results

In this population, the incidence rate of PD (mean [SD] age of cases, 61 [10] years) was 13.3 (95% confidence interval: 12.3–14.4) per 100,000 person-years. Incidence increased with age, and was higher in men than in women, and in urban than in rural residents. Prior stroke was associated with about twofold higher risk of PD (hazard ratio 1.94; 1.39–2.69). After adjustment for confounders in those without prior cardiovascular disease, a 5 kg/m2 higher body mass index was associated with 17% (1.17; 1.03–1.34: P = 0.019) higher risk of PD, but neither hypertension, diabetes, nor current cigarette smoking was significantly associated with PD.

Conclusion

Prior stroke and adiposity were each associated with higher risks of PD, but none of the other cardiovascular disease risk factors were significantly associated with PD in this population.

Cardiovascular risk factors and Parkinson's disease in 500,000 Chinese adults

poster

Welcome to the largest national, multi-specialty research event **featuring research from 750 medical students, residents and fellows, and international medical graduates.**


#### Event Details
The 2022 American Medical Association Research Challenge includes a poster symposium hall and a semifinals hall with the top scored research. Log in at any time throughout the event to:
* **View posters and presentations** on a variety of topics and specialties
* **Score posters in the semifinals** to help decide the top five finalists (AMA member exclusive opportunity)
* **Connect with participants** and provide feedback to help advance their research

At the conclusion of this event, the AMA will announce the top five finalists who will advance to the AMA Research Challenge finals, present their research to an elite panel of judges and compete to win a $10,000 grand prize sponsored by Laurel Road.
 

#### Attend Live Forums
**Oct. 20, 6 — 7 p.m. Central**
 **How to plan a career in academic medicine** 
 Learn how to plan a career in academic medicine and get your questions answered. [Access Here](https://underline.io/events/363/lounge)
 
 **Speakers**
![](https://assets.underline.io/uploads/markdown_image/1/image/d5adb133dfc58eb0a6d469e9cedcd5d4.jpg)
Ricardo Correa, MD, EdD
![](https://assets.underline.io/uploads/markdown_image/1/image/5f9437ab87861538bf02b9ca7c0d926e.jpg)
Stuart M. Greenstein, MD
![](https://assets.underline.io/uploads/markdown_image/1/image/05b1b637c99286d558c371f8e8b185ce.jpg)
Stephanie Strohbeen, MD
 
 **Oct. 22, 11 a.m. — Noon Central**
 **How to get published**
 Learn tips to get your research published and get your questions answered. [Access Here](https://underline.io/events/363/lounge)
 
 **Speakers**
![](https://assets.underline.io/uploads/markdown_image/1/image/8ce6235e957d31cb5e6f9097cc6f6972.jpg)
Jessica Li, MD/PhD Candidate
![](https://assets.underline.io/uploads/markdown_image/1/image/9950ef2e0237f54cb3d8280334d42491.jpg)
Charles Lopresto, DO

### Sponsor
AMA would like to thank Laurel Road for sponsoring a $10,000 grand prize for the winner of the AMA Research Challenge. Laurel Road is not involved in the judging or scoring process to select the winner. The winner will be announced on Dec. 7 during the AMA Research Challenge finals. Payment of the grand prize will be directly from Laurel Road. See the AMA Research Challenge Official Rules for terms and conditions.

![](https://assets.underline.io/uploads/markdown_image/1/image/611e331d4a0eba0920f240cfc04b4d77.png)

**There is no registration fee for this event! **

Register to explore research in a variety of topics. AMA members get exclusive access to score posters in the semifinals.

**Please use the link below to register for free if you have not already done so:**

https://www.ama-assn.org/about/events/ama-research-challenge

Registration Is Required

Welcome to the largest national, multi-specialty research event featuring research from 750 medical students, residents and fellows, and international medical graduates.


Background
Through the American Medical Association-Medical Student Section (AMA MSS), medical students have advocated for policies related to a variety of challenges we face in healthcare. These policies are reviewed by the AMA MSS to decide the organization's level of support which then has an impact on the direction of healthcare in the country. This project is a novel analysis of both policy proposed and the resulting decisions from the AMA MSS which reflects the opinion and sociopolitical stance of medical student members in the organization.

Methods
Two authors reviewed 2208 AMA MSS policy proposals submitted between 1999-2021 and categorized them based on keywords within the title and resolved clauses. A third author settled any disputes. Policies were categorized as related to race, gender inequality, LGBTQIA+, reproductive health, immigration, socioeconomic status, medical education, pediatrics, AMA infrastructure, or Other. We categorized potential decisions as either positive, neutral or negative outcomes. Statistical analysis was performed using IBM SPSS Statistics Version 28.

Results
Linear regression revealed a positive correlation between policies proposed per year and time (R²= 0.63). A qualitative assessment demonstrated that past 2015 there was an increase in positive outcomes for proposals related to race, reproductive health, and AMA infrastructure. The average positive outcome rate of policies related to race, reproductive health, LGBTQIA+, and AMA infrastructure was significantly higher than the average positive outcome rate of all the proposals based on students t-test (p<0.05). Past 2015 there has been a qualitative increase in neutral outcomes over all topics. 

Conclusion
The results showed a consistent increase in policies proposed per year over the past two decades, suggesting greater student involvement. The greater amount of neutral outcomes since 2015 could indicate more indecision in the AMA possibly due to the increased complexity of issues the AMA now wants to address. This increase in neutral decisions may warrant expert consultation. Policies on race, reproductive health, LGBTQIA+ and AMA infrastructure showed a greater percentage of positive outcomes indicating a correlation between the topic and its approval rate but further analysis would need to determine a cause for this.

Changes in Approval Rate of AMA Policies by Topic

Background
Home rapid antigen tests (RATs) are widely available, partially due to government distribution programs. Time-sensitive clinical decisions about provision of ambulatory COVID-19 care can depend on the results of these studies, which are often more readily accessible than clinician-performed tests. It is assumed that the two are similarly accurate. However, few studies of self-test RAT accuracy exist. Here, we compare the accuracy of patient-performed and clinician-performed BinaxNOW RATs using PCR as a gold standard.

Methods
All adult patients between February 12, 2022 and May 18, 2022 at a free state testing site in Baltimore, USA, were offered enrollment. Demographic and symptom status were recorded. 3 samples were obtained from each participant: clinicians sampled bilateral nares for PCR and RAT, after which participants self-tested using identical RATs. Sensitivity and specificity were compared using Chi-square. 

Results
625 patients participated. 60.6% were female, 58.6% were white, 98.2% were English speaking, and median age was 34 (IQR: 28, 48.5). 34.1% were symptomatic and 14.9% were PCR positive by PCR. Clinician and self-performed RATs had similar sensitivity (88.2% [95% CI: 80.1%, 93.2%] vs 83.9% [95% CI: 75.1%, 90.0%] P= 0.40) and specificity (99.6% [95% CI: 98.5%, 99.9%] vs 99.8% [95% CI: 98.8%, 100%] P= 0.57). In symptomatic patients, self-test had a sensitivity of 94.5% (95% CI: 86.6-98.5) and specificity of 62.5% (95% CI: 24.5-91.5). For asymptomatic patients, self-test had a sensitivity of 66.7% (95% CI: 29.9-92.5) and specificity of 100% (95% CI: 29.2-100.0). These were similar to clinical PCR as well. 

Conclusion
Clinician-performed and self-performed RATs had similarly high accuracy. The high observed sensitivity of home RATs supports their continued usage in ambulatory decision-making to identify eligible candidates for COVID-19 therapeutics. Their accessibility is key, since federal policy now states that patients are treatment eligible for a maximum of 7 days. Self-performed RATs reduce barriers including time needed to search for and then attend clinician appointments, and allow patients to play a larger role in their own care. Low false positive rates mitigate concerns about poor technique or contamination, and ensure that treatment is appropriate. Our study supports continued use of home RATs for clinical decision making.

Comparison of Accuracy of Self-Test and Clinical Rapid Antigen Testing for Coronavirus-19 (COVID-19)

Background
Non-urgent use of the emergency department (ED) is costly for patients. It can lead to increased healthcare spending and ED overcrowding and negatively affect primary care physician (PCP)-patient relationships. We aim to evaluate the association between perceived medical urgency, PCP coverage (whether a patient has a PCP), and patient descriptive characteristics with utilization of the ED for non-urgent clinical care.

Methods
Adult ED patients were stratified to preventable and non-preventable ED visits according to their emergency severity index (ESI) at the UC Irvine ED. A REDCap questionnaire was used to assess descriptive information, self-perceived medical urgency, and PCP Coverage. Chi-Square tests at a 5% significance level were performed to examine differences between race, native language, self-perceived medical urgency, and PCP coverage between preventable and non-preventable ED visits. 

Results
Study participants included 348 adult patients (52% female), of which 160 (46%) were preventable visits (ESI 4-5). There were more preventable visits among Black patients compared to non-Black patients (69.6% vs 30.4%, p=0.028) and the preventable group had less native English speakers than the non-preventable group (38.8% vs 61.2%, p=0.035). Compared to patients in the non-preventable ED visit group, patients in the preventable group are more likely to agree that they could have been seen and treated effectively by a PCP (p=0.003). Fewer patients in the preventable group have a PCP that they can see regularly and make an appointment with compared to the non-preventable group (40.3% vs 59.7%, p=0.004). 

Conclusion
Our results indicate that Black patients and non-native English speakers were overrepresented in preventable ED visits compared to their counterparts, suggesting these patients may be more vulnerable to the plethora of negative consequences associated with utilizing the ED for non-emergent medical services. In addition, our study also revealed that patients in the preventable ED visit group were less likely to have a PCP, even though they were more likely to agree that a PCP could manage their symptoms. Future interventions are needed to address this lack of PCP coverage among preventable ED patients to reduce patient financial burden, ED overcrowding, and overall healthcare spending.

Comparison of Patient Characteristics and Perceived Medical Urgency between Preventable and Non-Preventable Emergency Department Visits

Background
For almost 2 years COVID-19 pandemic has put a myriad of stressors on Health Care Workers (HCW). HCWs were at high risk of exposure to COVID-19. Understanding the factors associated with getting COVID-19 in the hospital setting among the employees are critical to advancing better interventions in the future. 
Methods
Hospital employees who were infected with COVID-19 were assessed in a descriptive study by using IDEA data base and occupational health records in a Large Upper Midwest integrated health system, from March 2019 through June 2020. Categorical variables were analyzed using Chi-squared test (χ2). Logistic regression analysis was performed to explore the risk factors for acquiring the disease. A two-sided P < 0.05 was considered statistically significant. Also, odds ratios (OR) and 95% confidence intervals (95% CI) were carried out for the statistical analysis.
Results
During the period of analysis there were 33175 valid test results among that 2981 (9%) were positive for COVID-19. Majority of employees were Registered Nurses (31.4%). 69.2% employees who reported positive test results had community related exposures while 30.6% had work related exposures. 830 employees who had a positive test result and reported work related exposure had cared for a COVID-19 patient (91.9%). 49 employees had breech to a COVID-19 patient (5.5%) while 99 had a known exposure to a HCW who had COVID-19 (11.1%). Body aches were the primary reported symptom (61.9%, OR=2.703). Some of the other reported symptoms include Loss of smell and taste (59.6%, OR=7.52); Cough (31.2%, OR=2.51); Headache (25%, OR=1.8) and Shortness of Breath (25.4%, OR=1.33). Caring for COVID-19 patients was associated with acquiring COVID-19 (P=0.001, CI=0.058-0.142). Reported breeches from employees were not found to be risk factors for COVID-19 (P=0.25, CI=-0.05-0.00) 
Conclusion
Although work related exposure to COVID-19 was low during the early months of the pandemic, caring for COVID-19 patients identified as a risk factor.

COVID-19 Exposures And Risk for Transmission Among Allina Health Hospital Employees

Background:
The advent of artificial intelligence/machine learning (AI/ML) in medicine has opened opportunities for harnessing the power of ML to predict patient outcomes based on diverse data contained in the electronic medical records (EMR). Taken by themselves singular features represented by such diverse data are often not clearly predictive, but combined in an ML modeling framework such so-called weak learners have the power to yield highly predictive models of health outcomes. 
 
Methods:
We hypothesized that sociodemographic and basic, easily obtainable health characteristics of pregnant mothers strongly predict the risk of rehospitalization.
Using the nuMoM2b dataset from NICHD and reproducible, open access AI/ML techniques we tested and validated this hypothesis. 
 
Results:
Among a large (n=10,038) and geographically diverse cohort of nulliparous women with singleton gestations, the present findings show that while some of these characteristics highlight the known disparities in health outcomes (race/ethnicity), most of them are modifiable through social policies and health counseling. These include access to and support during education, comprehensive health insurance, alleviating coming out of poverty, smoking, and unhealthy lifestyle habits.
 
Conclusion:
Across the four ML models deployed, the results are mutually reinforcing yielding a clear cohesive picture. This solution can be used to develop a prospective risk prediction for this important health outcome in pregnant mothers. The strengths of the presented solution are its focus on preventable maternal morbidities and risk factors, demonstration of the impact on adversely affected populations, and reproducible step-by-step executable, documented open-access code with relatively low computational requirements. This enables easy adoption and further development on this and other similar datasets to study the contributions and predictive power of various factors to maternal morbidities.

Demographic and socioeconomic factors predict maternal postpartum rehospitalization: a retrospective nuMoM2b dataset study

Background: Within New York City (NYC), certain communities have experienced greater rates of adverse COVID-19 outcomes. Current literature has evaluated the effectiveness of public health interventions during COVID-19 but fails to stratify across boroughs with varying demographic makeups. Understanding the effect of COVID-19 on different NYC communities may allow for the development of more efficacious public health policies that address populational disparities. Therefore, we compared trends in COVID-19 cases, hospitalizations, and deaths between the five NYC boroughs before and after the start of vaccine administration, using an interrupted time series analysis.

Methods: Data was collected from the Department of Health and Mental Hygiene’s dataset on daily COVID-19 cases, hospitalizations, and deaths. Our interrupted time series began on June 8th, 2020 and analyzed data through July 3rd, 2021. The intervention in our analysis was the availability of vaccinations to New Yorkers aged 16 years or older, beginning April 6th, 2021. Changes between pre- and post-intervention outcome trends were compared across each of the boroughs.

Results: In NYC as a whole, there was a significant decrease in the trend of cases, hospitalizations, and deaths following vaccinations. The greatest decreases in case trends were seen in the Bronx, Brooklyn, and Queens. Staten Island had a significantly greater decrease in hospitalizations, yet had the smallest change in deaths per unit time. In contrast, Brooklyn had a significantly greater decrease in death trends compared to all other boroughs.

Conclusion: We demonstrate a significant decrease in the trends of cases, hospitalizations, and deaths in NYC following vaccinations, illustrating its effectiveness in mitigating the spread of the pandemic. However, such decreases varied between boroughs, potentially owing to demographic and population-based disparities. Variations in post-intervention death trends may be attributed to Brooklyn’s larger population and a higher percentage of unmet medical care. Furthermore, boroughs with the highest proportion of Black/Hispanic inhabitants and unemployment experienced the greatest rise in pre-intervention death trends. This may indicate a need to target such populations in future public health crises. Nevertheless, boroughs with the highest minority populations showed the greatest decrease in case and death trends, suggesting the vaccine’s effectiveness among underserved populations. 


Differences in the Effectiveness of COVID-19 Vaccine Administration Between the Five New York City Boroughs: An Interrupted Time Series Analysis

Background
Asthma is a chronic respiratory condition affecting around 300 million people worldwide. In North America, the prevalence of asthma in children and young adults is about 11%. Multiple studies have shown that the burden of asthma was higher in the inner-city when compared to non-inner-city areas. In the United States, African and Hispanic Americans have a higher burden for asthma compared to White Americans. The goal of this study was to differentiate the burden of asthma between US-born and foreign-born Black New York City (NYC) residents. 
Methods
This is a secondary data analysis of the 2014 NYC Health and Nutrition Examination Survey (NYC HANES). The covariates of interest are age, sex, education, income, health insurance, and smoking status. We test for differences in asthma among Black residents of NYC by nativity using a multivariable Cox proportional hazard model with robust estimates by using a constant time for cross-sectional studies. We use domain analysis to maintain the complex survey structure of the data. Standard errors were estimated using Taylor’s Series Linearization, accounting for the complex survey nature of the data collection. We conducted all analyses in SAS OnDemand for Academics®. We set the threshold for significance at 5%.
Results
The final analytic sample represented a weighted proportion of 24.16% (SE = 1.40). The proportion of US-born Black residents was 61.1% and the proportion of foreign-born Black residents was 38.9%. Univariate analysis indicated that 29.2% of US-born Black NYC residents reported an asthma diagnosis compared to 10.7% of foreign-born Black residents of NYC (p-value < 0.001). The result of the covariate-adjusted model indicated that foreign-born Black NYC residents had a significantly lower prevalence of asthma compared to US-born (PR = 0.40, 95% CI = 0.21-0.76). Additionally, those who are 65 years and older had a lower asthma risk compared to those 20-34 years old.
Conclusion
This study shows that asthma is found in higher rates amongst US-born Black NYC residents as opposed to foreign-born. Further studies should investigate this result in a national sample. Also, studies should investigate association of acculturation to asthma outcome in foreign-born population.

Disparities in asthma rates amongst Black residents of New York City

Donation Trend from the American College of Physicians and American Academy of Family Physicians Politcal Action Committees: A 2006-2020 Analysis of Partisan Contributions

Abstract Title: Exploration of Exercise Referrals to Personal Fitness Trainers by Primary Care Physicians to Increase Adherence to Exercise Recommendations in African American Women.

Background: The endless health benefits of physical activity are common knowledge, yet physical inactivity is still a public health crisis in the U.S. Increased intervention is necessary to improve adherence to recommendations on physical activity. Adjacent to this crisis, is an increase in patients with obesity. African American women are among those most impacted by obesity and have been found to be the least physically active group in the country. Exercise referrals by primary care physicians to other health care professionals, specifically personal fitness trainers, is one intervention that may increase physical activity. While exercise referrals to personal fitness trainers is an underutilized, understudied intervention in addressing physical inactivity, studies suggest that exercise referrals to personal fitness trainers may have some benefit to African American female women. This study explores how African American women might benefit from exercise referral programs from their primary care physician to personal fitness trainers.

Methods: A literature review was conducted on the value of personal fitness trainers for African American women. One hundred African American women, with a BMI over 30 were surveyed on their physical activity habits and exercise recommendations from their primary care physician, including referral to personal fitness trainers. Survey respondents were offered a $5-$10 gift card for survey completion. Responses were uploaded manually and analyzed using comparison analysis.

Results: Results show that while most African American female patients at the Deighton Family Medicine Clinic reported being advised on physical activity, none had been directed to meet with a personal fitness trainer. 

Conclusion: African American female patients between the ages of 18 and 65 years of age significantly report being advised to exercise by their primary care physician but report no referrals to personal fitness trainers. This study may be useful in influencing interventional programs that refer African American women to personal fitness trainers by identifying barriers and highlighting exercise referrals as an effective therapeutic approach that is not common use.






Exploration of Exercise Referrals to Personal Fitness Trainers by Primary Care Physicians to Increase Adherence to Exercise Recommendations in African American Women.

Background:
Helicobacter Pylori is a gram-negative bacterium that induces chronic gastritis resulting in peptic ulcer disease and can also cause non-ulcer dyspepsia, gastric carcinoma and mucosa-associated lymphoma. Macrolide-based regimens were the first-line treatment for H. Pylori eradication;however, their widespread usage has led to increased resistance and subsequently treatment failure. Other factors contributing include poor compliance, smoking, prior antibiotics exposure.
Methods:
We performed retrospective analysis of electronic medical records of patients who were tested for H. pylori infection between January 2021 to December 2021. Data on patient’s sociodemographic factors, presenting symptoms, tests used for H. Pylori detection (stool antigen vs antibodies), prior use of antibiotics, the first line regimen used to treat the infection and follow up to confirm eradication of infection, were collected. Frequencies for all variables were calculated.
Results:
Among cohort of 670 with mean age of 57.9, 58% were females, 23% were of Hispanic ethnicity and 14% were former smokers, majority of cohort got tested in the ambulatory settings (75%) using stool antigen test 93% of which 37% (n= 234) tested positive for H. pylori and among these 53% were using PPI. The most common presenting symptoms were abdominal pain (64%) and GERD (22%), respectively. Standard triple regimen consisting of clarithromycin, amoxicillin, and PPI were prescribed to 76.1% of positive tested individuals with only 50%
completed the therapy and 28% of these had eradication confirmation on repeat stool antigen testing at a median follow-up of 12.7 weeks.
Conclusion:
Macrolide resistance, particularly for clarithromycin, has been observed at varying rates (1-21%) across different geographical regions and is now considered as an important factor in eradication failure. In our study we observed a low eradication rate among patients who were treated with macrolide-based regimen as first line therapy, suggesting that macrolide resistance may have played a role in eradication/treatment failure apart from other factors i.e., cost, duration of
therapy, poor compliance and loss of follow up. Thus, use of bismuth-quadruple or levofloxacin based regimen as first line therapy in high macrolide resistance areas is warranted.

Premium content

Next from AMA Research Challenge 2022

Changes in Approval Rate of AMA Policies by Topic

Similar lecture

Exploring the relationship between Protein Expression in Cerebrospinal fluid and Parkinson’s Disease Progression using Machine Learning

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES