chore(openchallenges): 2024-07-19 DB update (#2745)

Co-authored-by: vpchung <[email protected]>

apps/openchallenges/challenge-service/src/main/resources/db/challenges.csv

@@ -517,7 +517,7 @@
 "516","brats-2024","BraTS 2024","Adult brain gliomas. characterization","The International Brain Tumor Segmentation (BraTS) challenge. BraTS, since 2012, has focused on the generation of a benchmarking environment and dataset for the delineation of adult brain gliomas. The focus of this year''s challenge remains the generation of a common benchmarking environment, but its dataset is substantially expanded to ~4,500 cases towards addressing additional i) populations (e.g., sub-Saharan Africa patients), ii) tumors (e.g., meningioma), iii) clinical concerns (e.g., missing data), and iv) technical considerations (e.g., augmentations). Specifically, the focus of BraTS 2023 is to identify the current state-of-the-art algorithms for addressing (Task 1) the same adult glioma population as in the RSNA-ANSR-MICCAI BraTS challenge, as well as (Task 2) the underserved sub-Saharan African brain glioma patient population, (Task 3) intracranial meningioma, (Task 4) brain metastasis, (Task 5) pediatric brain tumor patients, (Tasks 7 & 8) global & local missing data, (...","","https://www.synapse.org/brats2024","active","1","","2024-03-01","2024-07-31","\N","2024-05-15 16:16:52","2024-06-03 18:48:38"
 "517","midi-b","Medical Image De-Identification Benchmark (MIDI-B) Challenge","Assessment rule-based DICOM image de-identification (deID) algorithms","Image de-identification is a requirement for the public sharing of medical images. The goal of the Medical Image De-Identification Benchmark (MIDI-B) challenge is to assess rule-based DICOM image de-identification (deID) algorithms using a large and diverse set of standardized clinical images with synthetic identifiers. Automated image de-identification methods that preserve the research utility of the data are desirable.","","https://www.synapse.org/#!Synapse:syn53065760/wiki/625274","active","1","","2024-05-10","2024-09-06","\N","2024-05-15 16:20:50","2024-05-20 16:42:32"
 "518","mapmyspikes-data-challenge","MapMySpikes: Data Challenge","How do firing properties of a cell relate to its molecular cell type?","Assign cell types using electrophysiology data","","https://alleninstitute.org/events/mapmyspikes/","completed","\N","","\N","2024-06-17","2839","2024-05-20 16:52:43","2024-06-03 18:47:05"
-"519","chaimeleon","Chaimeleon","Re-identify pseudonymized medical studies","Participants will be challenged to re-identify pseudonymized medical studies with two de-identification methods used in ongoing AI4HI projects.","","https://chaimeleon.eu/re-identification-challenge/","active","\N","","2024-05-01","2024-08-01","2869","2024-05-20 16:52:45","2024-05-20 16:52:45"
+"519","chaimeleon-re-identification-challenge","Chaimeleon Re-identification Challenge","Re-identify pseudonymized medical studies","Participants will be challenged to re-identify pseudonymized medical studies with two de-identification methods used in ongoing AI4HI projects.","","https://chaimeleon.eu/re-identification-challenge/","active","\N","","2024-05-01","2024-08-01","2869","2024-05-20 16:52:45","2024-07-19 17:06:44"
 "520","digitally-derived-endpoints-for-freezing-of-gait-detection-defogd-challenge","Digitally-Derived Endpoints for Freezing-of-Gait Detection (DEFoGD) Challenge","Digitally-Derived Endpoints for Freezing-of-Gait Detection in Parkinson''s (PD)","Digital health technologies (DHTs) have the potential to capture information about a person''s health, continuously in real time outside the clinic. This unlocks the ability to meet people where they are in their environment and at various stages along their health journey. When people are engaging with DHTs and the data are organized and analyzed to create new or better measures of health, there is opportunity for digitally-derived endpoints to extend clinical reach and facilitate early disease detection and prevention, or support disease treatment and management of care in the home.","","https://precision.fda.gov/challenges/33","active","6","","2024-05-28","2024-08-02","\N","2024-05-21 22:03:46","2024-06-11 21:28:57"
 "521","placental-clock-dream-challenge","Placental Clock DREAM Challenge","Develop a new clock to achieve greater accuracy in predicting gestational age!","Since 2011, three generations of epigenetic clocks have been developed to estimate biological age[1-3]. The first-generation of models were generated by using DNA methylation data in various tissues to predict chronological age (outcome)[1, 4-6]. Second-generation models, such as PhenoAge and GrimAge used health outcomes, including all-cause mortality, for a more accurate determination of the latent biological age[7-9]. The latest, third-generation clocks like DunedinPoAm use longitudinal data to estimate the rate of aging[10]. This generation also includes universal clocks applicable to multiple species, such as the universal pan-mammalian epigenetic clock[11].  Biological age, as captured by these DNA methylation clocks, can be influenced by environmental factors, including smoking, obesity, sleep patterns, diet and exercise, stress, as well as diseases like cancer, diabetes, and Down syndrome[12-18]. The role of epigenetic programming in fetal development is crucial [19-21]. Th...","","http://synapse.org/placentalclock","active","1","","2024-06-03","2024-08-27","\N","2024-06-03 16:59:54","2024-06-03 17:03:06"
 "522","detecting-active-tuberculosis-bacilli-2024","Detecting Active Tuberculosis Bacilli - 2024","","Tuberculosis is one of the leading infectious causes of death worldwide 1. Each year, millions of individuals contract and develop active TB without knowing 2. Case identification and treatment are the primary methods for controlling spread as there is no effective TB vaccine for adults. Unfortunately, delays in diagnosis are common, especially in resource-limited settings, and can worsen individual outcomes and perpetuate transmission of the disease 3,4. Without a timely diagnosis, patients needing treatment would head home from a clinic without knowing they were positive. If they miss their follow up, they would not learn about their diagnosis and nor would they start their treatment. Automated TB diagnosis could play a role reducing the loss of follow up and get patients to be treated more timely. Automated digital microscopy has been proposed as a cost-effective solution 6,7. An automated algorithm that could reliably detect mycobacterium on samples from patients with suspecte...","","https://app.nightingalescience.org/contests/m3rl61qq21wo","completed","15","","2024-03-01","2024-04-01","\N","2024-07-02 22:45:34","2024-07-02 22:47:34"