Felix Richter, MD, PhD
Locations: Main Building, CHOP at Penn Medicine Hospital of the University of Pennsylvania, CHOP at Penn Medicine Pennsylvania Hospital
About Felix Richter, MD, PhD
Titles
Neonatal-Perinatal Medicine Fellow
Awards and Honors
2024, Kurt Hirschhorn Clinician-Scientist Award
2024, Mount Sinai Child Health Research Day: Poster Presentation “Clinical” Section 1st
2024, Pediatric Academic Societies: Oral Presentation Award
2024, Symposium on Artificial Intelligence for Learning Health Systems: NEJM AI Funding, Oral Talk Scholarship
2023, Mount Sinai Child Health Research Day: Poster Presentation “Clinical” Section 1st Place
2023, Thrasher Research Fund Early Career Award
2022-2023, STAR Employee Recognition by Nursing
2021, Medical Degree with Distinction in Research
2021, Mindich Child Health and Development Institute Junior Faculty Pilot Grant
2020, Friedman Brain Institute Fascitelli Scholar Junior Faculty Grant
2019, International Society for Computational Biology Wikipedia Competition 1st Place
2018, American Society of Human Genetics Epstein Award for Excellence: Platform Talk and Finalist Research - Awarded for a talk on "A deep learning framework finds a role for noncoding de novo variants in CHD"
2018, Mindich Child Health Development Institute Retreat: Oral Presentation 1st Place
2017, American Society of Human Genetics Epstein Award for Excellence: Platform Talk and Finalist
2017, Mount Sinai Child Health Research Day: Selected for Oral Presentation
2016, Mount Sinai Child Health Research Day: Poster Presentation “Research” Section 1st Place
2016, NIH Systems and Developmental Biology and Birth Defects T32HD075735 Grant
Leadership and Memberships
American Academy of Pediatrics
American Society of Human Genetics
Education & training
Graduate Degree
PhD - Icahn School of Medicine at Mount Sinai, New York, NY
Medical Degree
MD - Icahn School of Medicine at Mount Sinai, New York, NY
Residency
Pediatrics - Icahn School of Medicine at Mount Sinai, New York, NY
Fellowship
Neonatal Medicine - Children's Hospital of Philadelphia, Philadelphia, PA
Publications
Publications
2024
Narayan P., RICHTER, F.,* Morton S.U..* *Equal contributions. Genetics and etiology of congenital heart disease. Current Topics in Developmental Biology. (2024, Feb); 156(Epub): 297-331.
RICHTER, F., Eddy-Abrams V., Garg H., Midulla P., Ratner V. Fetal volvulus presenting with In utero bilious emesis: A case report. Journal of Pediatric Surgery Case Reports. (2024, Jun); 105(.): 102818.
RICHTER, F.,* Rutherford, K. D.,* Cooke, A. J.,* Meshkati, M., Eddy-Abrams, V., ... Barbosa, M., Guttmann, K. F. & Turro, E. *Equal contributions. A deep intronic PKHD1 variant identified by SpliceAI in a deceased neonate with autosomal recessive polycystic kidney disease. American Journal of Kidney Diseases. (2024, Jan); 83(6): 829-833.
Xiao F., et al. [including RICHTER, F.]. Functional dissection of human cardiac enhancers and noncoding de novo variants in congenital heart disease. Nature Genetics. (2024, Feb); 56(.): 420–430.
2023
Jain, N.,* RICHTER, F.,* Adzhubei, I., Sharp, A. J. & Gelb, B. D. *Equal contributions. Small open reading frames: a comparative genetics approach to validation. BMC Genomics. (2023, May); 24(1): 1-11.
2022
Morton, S. U., Pereira, A. C., Quiat, D., RICHTER, F., Kitaygorodsky, A., Hagen, J., Bernstein, D., Brueckner, M., ... Chung, W. K., Roberts, A., Gelb, B. D., Shen, Y., Newburger, J. W., Seidman, J. G. & Seidman, C. E. Genome-Wide De Novo Variants in Congenital Heart Disease Are Not Associated With Maternal Diabetes or Obesity.. Circ. Genomic Precis. Med. . (2022, Apr); 15(2): e003500.
RICHTER, F.,* Strasser, A. S.,* Suarez-Farinas, M., Zhao, S., Nadkarni, G. N., Jabs, E. W., Guttmann, K. & Glicksberg, B. S. *Equal contributions. Neonatal outcomes during the COVID-19 pandemic in New York City.. Pediatric research. (2022, Feb); 91(3): 477-479.
2021
Chan, L., et al. [including RICHTER, F.]. AKI in Hospitalized Patients with COVID-19. Journal of the American Society of Nephrology. (2021, Jan); 32(1): 151-160.
Guttmann, K. F., Puoplo, N., RICHTER, F. & Weintraub, A. S. Trends in length of stay for Neonatal Intensive Care Unit patients who die before hospital discharge. Am. J. Perinatol., Online ahead of print. (2021, Dec); -(-): -.
Kontorovich, A. R., Patel, N., Moscati, A., RICHTER, F., Peter, I., Purevjav, E., Selejan, S. R., Kindermann, I., Towbin, J. A., Bohm, M., Klingel, K. & Gelb, B. D. Myopathic Cardiac Genotypes Increase Risk for Myocarditis. JACC Basic Transl Sci. (2021, Jul); 6(7): 584-592.
RICHTER, F. A broad introduction to RNA-seq. WikiJournal of Science. (2021, Jan); 4(1): 1-14.
Somani, S., Russak, A. J., RICHTER, F., Zhao, S., Vaid, A., Chaudhry, F., De Freitas, J. K., Naik, N., Miotto, R., Nadkarni, G. N., Narula, J., Argulian, E. & Glicksberg, B. S. Deep learning and the electrocardiogram: review of the current state- of-the-art.. EP Europace. (2021, Aug); 23(8): 1179-1191.
Somani, S.,* RICHTER, F.,* Fuster, V., Freitas, J. De, Naik, N., Sigel, K., (MSCIC), M. S. C. I. C., Boettinger, E. P., Levin, M. A., Fayad, Z., Just, A. C., Charney, A., Zhao, S., Glicksberg, B. S., Lala, A. & Nadkarni, G. *Equal Contributions. Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization For COVID-19. J. Gen. Intern. Med. (2020, Aug); Online(- ): 1-7.
Vaid A, et. al. [including RICHTER, F.]. Machine Learning in Cardiology—Ensuring Clinical Impact Lives Up to the Hype. J. Cardiovasc. Pharmacol. Ther. (2020, Jun); 25(5): 379-390.
Vaid, A., et. al. [including RICHTER, F.]. Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients: A Cohort Study. Journal of Medical Internet Research, Online ahead of print. (2020, Oct); -(-): -.
2020
Lala, A., et al. [including RICHTER, F.]. Prevalence and Impact of Myocardial Injury in Patients Hospitalized with COVID-19 Infection. J. Am. Coll. Cardiol. (2020, Jun); 76(5): 533-546.
Martin-Trujillo, A., Patel, N., RICHTER, F., Jadhav, B., Garg, P., Morton, S. U., McKean, D. M., ... Giardini, A., Bernstein, D., Tristani-Firouzi, M., Seidman, J. G., Seidman, C. E., Chung, W. K., Gelb, B. D. & Sharp, A. J. Rare genetic variation at transcription factor binding sites modulates local DNA methylation profiles. PLoS Genetics. (2020, Nov); 16(11): e1009189.
Pujadas, E., et al. [including RICHTER, F.]. SARS-CoV-2 viral load predicts COVID-19 mortality. Lancet Respir. Med. (2020, Aug); S2213-2600(20): 30354-4.
RICHTER, F.,* Morton, S. U.,* Kim, S. W.,* Kitaygorodsky, A.,* Wasson, L. K.,* Chen, K. M.,* ... Srivastava, D., Tristani-Firouzi, M., Troyanskaya, O. G., Dickel, D. E., Shen, Y., Seidman, J. G., Seidman, C. E. & Gelb, B. D. *Equal contributions. Genomic analyses implicate noncoding de novo variants in congenital heart disease. Nature Genetics. (2020, Jun); 52(8): 769-777.
Seiden, A. H.,* RICHTER, F.,* Patel, N., Rodriguez, O. L., Deikus, G., Shah, H., Smith, M., Roberts, A., King, E. C., Sebra, R. P., Sharp, A. J. & Gelb, B. D. *Equal contributions. Elucidation of de novo small insertion/deletion biology with parent of origin phasing.
Sigel, K., et al. [including RICHTER, F.]. Covid-19 and People with HIV Infection: Outcomes for Hospitalized Patients in New York City. Clinical infectious diseases. (2020, Dec); 71(11): 2933-2938.
2019
Kronman, H.,* RICHTER, F.,* Labonté, B., Chandra, R., Zhao, S., Hoffman, G., Lobo, M. K., Schadt, E. E. & Nestler, E. J. *Equal contributions. Biology and Bias in Cell Type-Specific RNAseq of Nucleus Accumbens Medium Spiny Neurons. Sci. Rep. (2019, Jun); 9 (1): 8350.
McFadden, W. C., Walsh, H., RICHTER, F., Soudant, C., Bryce, C. H., Hof, P. R., Fowkes, M., Crary, J. F. & McKenzie, A. T. Perfusion fixation in brain banking: a systematic review. Acta Neuropathol. Commun. (2019, Sep); 7(1): 146.
RICHTER, F., Hoffman, G. E., Manheimer, K. B., Patel, N., Sharp, A. J., McKean, D., Morton, S. U., DePalma, S., Gorham, J., Kitaygorodksy, A., Porter, G. A., Giardini, A., Shen, Y., Chung, W. K., Seidman, J. G., Seidman, C. E., Schadt, E. E. & Gelb, B. D. ORE Identifies Extreme Expression Effects Enriched for Rare Variants. Bioinformatics. (2019, Oct); 35(20): 3906-3912.
2018
Manheimer, K. B., Patel, N., RICHTER, F., Gorham, J., Tai, A. C., Homsy, J., Boskovski, M. T., Parfenov, M., Goldmuntz, E., Chung, W. K., Brueckner, M., Tristani-Firouzi, M., Srivastava, D., Seidman, J. G., Seidman, C. E., Gelb, B. D. & Sharp, A. J. Robust identification of deletions in exome and genome sequence data based on clustering of Mendelian errors. Hum. Mutat.. (2018, Jun); 39 (6): 870-881.
Manheimer, K. B., RICHTER, F., Edelmann, L. J., D’Souza, S. L., Shi, L., Shen, Y., Homsy, J., Boskovski, M. T., Tai, A. C., Gorham, J., Yasso, C., Goldmuntz, E., Brueckner, M., Lifton, R. P., Chung, W. K., Seidman, C. E., Seidman, J. G. & Gelb, B. D. Robust identification of mosaic variants in congenital heart disease. Hum. Genet.. (2018, Feb); 137(2): 183-193.
2013
Joshi, H., De, M., RICHTER, F., He, J., Prasad, P. V & Dravid, V. Effect of silica shell thickness of Fe3O4–SiOx core–shell nanostructures on MRI contrast. J. Nanoparticle Res. (2013, Feb); 15(3): 1-8.
Abstracts (includes Posters and Scientific Presentations)
2024
Gleason, A., [...] Richter, F. (2024, April 11). Artificial intelligence characterizes neonatal sedation and EEG abnormalities from video data Poster presented at: Mount Sinai Child Health Research Day; New York City, NY.
Richter, F., et al. (2024, April 11). Artificial intelligence characterizes neonatal sedation and EEG abnormalities from video data Poster presented at: Mount Sinai Child Health Research Day; New York City, NY.
Gleason, A., [...] Richter, F. (2024, May 10). Artificial intelligence characterizes neonatal sedation and EEG abnormalities from video data Oral Presentation presented at: Symposium on Artificial Intelligence for Learning Health Systems ; Río Grande, PR.
Richter, F.. (2024, April 21). Putting it all together: Building an AI project from scratch Oral Presentation presented at: AI in Medicine Workshop; New York City, NY.
Richter, F., et al. (2024, May 5). Artificial intelligence characterizes neonatal sedation and EEG abnormalities from video data Oral Presentation presented at: Pediatric Academic Societies; Toronto, ON. CAN.
Richter, F., et al. (2024, May 16). AI accurately predicts neonatal Sedation and EEG abnormalities from video data Oral Presentation presented at: Mount Sinai Department of Pediatrics Grand Rounds; New York City, NY.
2023
Ebrahim, T.A.M., et al. [including Richter, F.]. (2023, May 5). Dissecting mechanisms of cardiac specification and differentiation using large-scale CRISPR-based screens Poster presented at: Weinstein Meeting: Cardiovascular Development and Regeneration; San Diego, CA.
Richter, F., et al. (2023, April 13). NICUnet: Genome Sequencing of Neonatal Fatalities Poster presented at: Mount Sinai Child Health Research Day; NYC, NY.