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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -2,132 +2,118 @@ | |
| from tabs.utils import coming_soon_message | ||
| from tabs.utils import create_html_table | ||
|
|
||
| def show_table(key, button_text, show_table, csv_file_path, caption): | ||
| if st.button(button_text, key): | ||
| st.session_state[show_table] = not st.session_state[show_table] | ||
|
|
||
| # Conditionally display the table | ||
| if st.session_state[show_table]: | ||
| create_html_table(csv_file_path, caption, [], 0) | ||
|
|
||
| # Define the content of the Study Metadata page | ||
| def study_metadata_page(tab_name): | ||
| st.markdown( | ||
| """ | ||
| Official Title: Bridge2AI-Voice | ||
| Design: Study Type - Observational | ||
| Enrollment Count (Anticipated by 2027): 10,000 | ||
| Design Observation Model | ||
| • Cohort | ||
| Design Time Perspective | ||
| • Cross-sectional | ||
| Biospecimens: Respiratory, Voice and speech samples | ||
| Biospecimens Description | ||
| The Bridge2AI-Voice dataset contains samples from conventional acoustic tasks including respiratory sounds, cough sounds, and free speech prompts, capturing voice, speech and language data relating to health. Participants who consent are asked to perform speaking tasks and complete self-reported demographic and medical history questionnaires, as well as disease-specific validated questionnaires. Participants who consent also permit investigators to access medical information through EHR platforms in order to perform gold standard validation of diagnoses and symptoms | ||
| Eligibility | ||
| Sex | ||
| All | ||
| Gender Based | ||
| No | ||
| Minimum Age | ||
| 18 years (this will change when pediatric cohort is introduced, and metadata will be updated to reflect new eligibility criteria) | ||
| Maximum Age | ||
| 120 years | ||
| Healthy Volunteers | ||
| Yes | ||
| Inclusion Criteria | ||
| See Table 1 | ||
| Exclusion Criteria | ||
| Does not read or speak English (Please note, the Spanish protocols and Data collection will be included in future releases) | ||
| See Table 1 | ||
| Study Population | ||
| The current v.1.0.0 dataset contains only adult populations. As the study progresses, a pediatric cohort will be introduced. Inclusion/exclusion criteria and additional information regarding the dataset and study metadata will be updated at that time. In addition, the current dataset contains fluent English speakers but will expand to include data collection in Spanish. | ||
| Sampling Method | ||
| Non-Probability Sample | ||
| Identification Information | ||
| Organization Study ID | ||
| OT2OD032720 | ||
| Organization Study Type | ||
| U.S. National Institutes of Health (NIH) Grant/Contract Award Number | ||
| Secondary ID | ||
| ID Link | ||
| OT2OD032720 | ||
| https://reporter.nih.gov/search/4XtcXzBGEkWQlwG5v8odBA/project-details/10858564 | ||
| Collaborators | ||
| • University of South Florida | ||
| • Weill Cornell Medicine | ||
| • Oregon Health & Science University | ||
| • Massachusetts Institute of Technology | ||
| • University of Toronto | ||
| • Mount Sinai Hospital | ||
| • Hospital for Sick Children | ||
| • Simon Fraser University | ||
| • The Hastings Center | ||
| • Washington University in St. Louis | ||
| • University of Florida | ||
| • Vanderbilt University Medical Center | ||
| URL | ||
| How to cite | ||
| If you use this dataset for any purpose, please cite the resources specified in the Bridge2AI-Voice documentation for version 1.0.0 of the dataset at (URL) | ||
| Bridge2AI-Voice Consortium (2024). Flagship Voice Dataset from the Bridge2AI-Voice Project (1.0.0) [Dataset]. | ||
| Contact | ||
| For any questions, suggestions, or feedback related to this dataset, please email [email protected] | ||
| Acknowledgement | ||
| Bridge2AI-Voice is supported by NIH grant OT2OD032720 through the NIH Bridge2AI Common Fund program. | ||
| """) | ||
|
|
||
| # Initialize session state for table visibility | ||
| if 'show_table_1' not in st.session_state: | ||
| st.session_state['show_table_1'] = False | ||
| if 'show_table_2' not in st.session_state: | ||
| st.session_state['show_table_2'] = False | ||
| if 'show_table_3' not in st.session_state: | ||
| st.session_state['show_table_3'] = False | ||
|
|
||
| # Button to toggle table visibility | ||
| if st.button('Table 1'): | ||
| st.session_state['show_table_1'] = not st.session_state['show_table_1'] | ||
|
|
||
| # Conditionally display the table | ||
| if st.session_state['show_table_1']: | ||
| csv_file_path = "tables/Disease_cohort_inclusion_exclusion_criteria.csv" | ||
| caption = 'Table 1 - Disease cohort inclusion/exclusion criteria and validation methods' | ||
| create_html_table(csv_file_path, caption, [], 0) | ||
|
|
||
| # Button to toggle table visibility | ||
| if st.button('Table 2'): | ||
| st.session_state['show_table_2'] = not st.session_state['show_table_2'] | ||
|
|
||
| # Conditionally display the table | ||
| if st.session_state['show_table_2']: | ||
| csv_file_path = "tables/Acoustic_Tasks_Protocol.csv" | ||
| caption = 'Table 2 - Acoustic Tasks in Protocol' | ||
| create_html_table(csv_file_path, caption) | ||
|
|
||
| # Button to toggle table visibility | ||
| if st.button('Table 3'): | ||
| st.session_state['show_table_3'] = not st.session_state['show_table_3'] | ||
|
|
||
| # Conditionally display the table | ||
| if st.session_state['show_table_3']: | ||
| csv_file_path = "tables/Validated_Questionnaires.csv" | ||
| caption = 'Table 3 - Validated Questionnaires integrated into App' | ||
| create_html_table(csv_file_path, caption, ['X']) | ||
|
|
||
| st.markdown( | ||
| """ | ||
| Official Title: Bridge2AI-Voice | ||
| Design: Study Type - Observational | ||
| Enrollment Count (Anticipated by 2027): 10,000 | ||
| Design Observation Model | ||
| - Cohort | ||
| Design Time Perspective | ||
| - Cross-sectional | ||
| Biospecimens: Respiratory, Voice and speech samples | ||
| Biospecimens Description<br> | ||
| The Bridge2AI-Voice dataset contains samples from conventional acoustic tasks including respiratory sounds, cough sounds, and free speech prompts, capturing voice, speech and language data relating to health. Participants who consent are asked to perform speaking tasks and complete self-reported demographic and medical history questionnaires, as well as disease-specific validated questionnaires. Participants who consent also permit investigators to access medical information through EHR platforms in order to perform gold standard validation of diagnoses and symptoms | ||
| <ins>Eligibility</ins> | ||
| Sex<br> | ||
| All | ||
| Gender Based<br> | ||
| No | ||
| Minimum Age<br> | ||
| 18 years (this will change when pediatric cohort is introduced, and metadata will be updated to reflect new eligibility criteria) | ||
| Maximum Age<br> | ||
| 120 years | ||
| Healthy Volunteers<br> | ||
| Yes | ||
| Inclusion Criteria<br>""", unsafe_allow_html=True) | ||
|
|
||
| show_table(1, 'See Collection Methods - Table 1', 'show_table_1', "tables/Disease_cohort_inclusion_exclusion_criteria.csv", 'Table 1 - Disease cohort inclusion/exclusion criteria and validation methods') | ||
|
|
||
| st.markdown( | ||
| """ | ||
| Exclusion Criteria<br> | ||
| Does not read or speak English (Please note, the Spanish protocols and Data collection will be included in future releases)<br>""", unsafe_allow_html=True) | ||
|
|
||
| show_table(2, 'See Collection Methods - Table 1', 'show_table_1', "tables/Disease_cohort_inclusion_exclusion_criteria.csv", 'Table 1 - Disease cohort inclusion/exclusion criteria and validation methods') | ||
|
|
||
| st.markdown( | ||
| """ | ||
| Study Population<br> | ||
| The current v.1.0.0 dataset contains only adult populations. As the study progresses, a pediatric cohort will be introduced. Inclusion/exclusion criteria and additional information regarding the dataset and study metadata will be updated at that time. In addition, the current dataset contains fluent English speakers but will expand to include data collection in Spanish. | ||
| Sampling Method<br> | ||
| Non-Probability Sample<br> | ||
| Identification Information<br> | ||
| Organization Study ID<br> | ||
| OT2OD032720<br> | ||
| Organization Study Type<br> | ||
| U.S. National Institutes of Health (NIH) Grant/Contract Award Number | ||
| Secondary ID<br> | ||
| <table style="border: none;"> | ||
| <tr> | ||
| <td><b>ID</b></td> | ||
| <td><b>Link</b></td> | ||
| </tr> | ||
| <tr> | ||
| <td>OT2OD032720</td> | ||
| <td><a href="https://reporter.nih.gov/search/4XtcXzBGEkWQlwG5v8odBA/project-details/10858564">https://reporter.nih.gov/search/4XtcXzBGEkWQlwG5v8odBA/project-details/10858564</a></td> | ||
| </tr> | ||
| </table> | ||
| Collaborators | ||
| - University of South Florida | ||
| - Weill Cornell Medicine | ||
| - Oregon Health & Science University | ||
| - Massachusetts Institute of Technology | ||
| - University of Toronto | ||
| - Mount Sinai Hospital | ||
| - Hospital for Sick Children | ||
| - Simon Fraser University | ||
| - The Hastings Center | ||
| - Washington University in St. Louis | ||
| - University of Florida | ||
| - Vanderbilt University Medical Center | ||
| URL | ||
| How to cite | ||
| If you use this dataset for any purpose, please cite the resources specified in the Bridge2AI-Voice documentation for version 1.0.0 of the dataset at (URL) | ||
| Bridge2AI-Voice Consortium (2024). Flagship Voice Dataset from the Bridge2AI-Voice Project (1.0.0) [Dataset]. | ||
| Contact | ||
| For any questions, suggestions, or feedback related to this dataset, please email [email protected] | ||
| Acknowledgement | ||
| Bridge2AI-Voice is supported by NIH grant OT2OD032720 through the NIH Bridge2AI Common Fund program. | ||
| """, unsafe_allow_html=True) | ||
|
|
||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters