), we are more interested in understanding your ability to learn and pick up the skills that will be taught in our courses. They give fake patient records and a set of instructions on what they want you to do with the information. Flatiron School alumni work at various tech companies, such as Microsoft, Glossier, Amazon Web Services, and more. Whether working with NoSQL or RDBMS, understanding the fundamentals of . You have a demonstrated exceptional attention to detail. In machine learning, the phrase human in the loop describes iterative models that require a human touch. Have a piece of paper and a pencil for notes. Velcheti V, Chandwani S, Chen X, Pietanza MC, Burke T. 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KM, Lilenbaum R, Bagley S, Mitra N, Meropol N, Holzman B, Cohen R, Langer C, Vachani A, Curtis MD, Nussbaum N, Hamrick HJ, Bennette CS, Meropol N, Miksad RA, Liede A, Hernandez RK, Wade S, Bo R, Ahern E, Dougall WC, Smyth MJ, Fonseca R, Parikh K, Ung B, Ni Q, Agarwal A, Barzi A, Hess L, Zhu Y, Liepa A, Fang Y, Kuder C, Beyrer J, Chao J, Le DT, Janjigian YY, Ott PA, Korytowsky B, Le H, Le TK, Zhang Y, Maglinte G, Patel D, Shangguan T, Chau I, Villalobos VM, Hess L, Zhu Y, Sugihara T, Lee P, Wacheck V, Melemed SA, Wagner AJ, Barzi A, Miksad RA, Surinach A, Corvino F, Wang S, Torres AZ, Mamlouk KK, Pulgar SJ, Bekaii-Saab TS, Bourla A, Sweeney E, Parrinello CM, Abernethy AP, Griffith S, Clarke JM, Molife C, Miksad RA, Batus M, Winfree KB, Gossai A, Stefaniak VJ, Foster R, Cui Z, Torres AZ, Feuchtbaum D, Tawney MK, Bonomi PD, Agarwala V, Backenroth D, Singal G, O'Connell C, Li G, Alpha-Cobb G, Kaushik G, Carson K, Miller V, Abernethy AP, O'Connell C, Backenroth D, Singal G, Agarwala V, Li 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Hernandez RK, Lethen J, Warner D, Abernethy AP, Calkins G, Kohansimeh J, Krishna A, Green R, Curtis MD, Lindberg F, Jaskiw A, Larrabee K, Terry M, Feinstein RN, Plotkin L, Palladino ML, Nicacio L, Abernethy AP, Fung C, Richardson P, Eisenberg D, Connolly D, Terry M, Feinstein RN, Tucker M, Miller C, Nicacio L, Liede, A, Hernandez, RK, Roth, M, Calkins, G, Larrabee, K, Nicacio, LV, Racial differences in impacts of high-risk chromosome abnormalities on multiple myeloma progression and survival in a nationwide electronic health record database, Racial disparities in telemedicine uptake during the COVID-19 pandemic among patients with hematologic malignancies in the United States, Impact of the COVID-19 pandemic on in-person visit rates among patients with hematologic malignancies in the United States, Generating Real-World External Comparators (rwECs) for Randomized Clinical Trials (RCTs) in Metastatic Breast Cancer (mBC) using Electronic Health Records (EHRs), Exploring the potential for EHR-derived real-world data to reduce uncertainty in HTA decision-making: a case study of long-term survival outcomes, Trends in End-of-Life (EOL) Systemic Oncologic Treatment in Contemporary Clinical Practice: Insights from Real-World Data, Trends in Diagnosis and Treatment of Early Breast Cancer (eBC) in the United States (US) During the COVID-19 Era, Implementation of an EHR-embedded decision support tool in community oncology practices, Characteristics and outcomes of patients (pts) with NTRK fusion-positive (NTRK+) metastatic / locally advanced (LA) solid tumours receiving non-TRK inhibitor (TRKi) standard of care (SoC), and prognostic value of NTRK fusions in clinical practice, Real-world outcomes of hormone receptor-positive (HR+) HER2-negative (HER2-) metastatic breast cancer (mBC) with high tumor mutational burden (hTMB) treated with immune checkpoint inhibitors (ICI), ACA Medicaid expansion association with racial disparity reductions in timely cancer treatment, Effect of first line pembrolizumab treatment in individuals with advanced non-small cell lung cancer and poor performance status, Comparing phase 3 go decisions (Ph3-GO) between single arm trials with real-world external control (SAT+rwEC) versus randomized phase 2 trials (rPh2), Evaluating real-world overall survival (rwOS) across oncology data sources: Friends of Cancer Research non-small cell lung cancer pilot study, Plasma circulating tumor DNA (ctDNA) fraction and real-world overall survival (rwOS) in metastatic castration resistant prostate cancer (mCRPC), An automated EHR-based tool to improve patient identification for biomarker-driven trials, Extracting non-small cell lung cancer (NSCLC) diagnosis and diagnosis dates from electronic health record (EHR) text using a deep learning algorithm, Clinical characteristics, treatment patterns, and overall survival of real-world patients with idiopathic multicentric Castleman disease, Time to treatment initiation for patients with advanced cancer documented during the COVID-19 pandemic, Racial disparities in second-line (2L) treatment patterns and overall survival among real-world patients (pts) with hormone receptor positive HER2 negative (HR+HER2-) metastatic breast cancer (mBC), ERBB2 copy number (CN) as a quantitative biomarker for real-world (RW) outcomes to anti-HER2 therapy in advanced gastroesophageal adenocarcinoma (adv GEA), Concordance of HER2+ status by IHC/ISH and ERBB2 status by NGS and analysis of real-world outcomes in patients (pts) with metastatic breast cancer (mBC) receiving first-line (1L) HER2 therapy, Analysis of real world data (RWD) for metastatic breast cancer (mBC) patients (pts) without germline BRCA (gBRCA) alterations treated with PARP inhibitors (PARPi), Association between improvements in survival of metastatic NSCLC patients and targeted- and immuno-therapy, Influence of first-line chemotherapy regimen on survival outcomes of patients with advanced urothelial carcinoma who receive second-line immunotherapy, Clinical trial representativeness and treatment intensity in a real-world sample of women with early stage breast cancer, Influence of first-line chemotherapy regimen on survival outcomes of patients with advanced urothelial carcinoma who received second-line immunotherapy, Role of cytoreductive nephrectomy in metastatic renal cell carcinoma, Molecular, immunologic, and clinicodemographic landscape of MYC-amplified (MYCamp) advanced prostate cancer (PCa), Natural language processing-based detection of transgender and gender non-conforming patients in electronic health record-derived data, Quantifying bias in Flatiron ML-extracted variables for inference in clinical oncology, Statistical methods for pantumor analysis: models to account for tumor-level heterogeneity, Enhanced cost-effectiveness analysis using EHR data for real-world value.