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| workplaces = [[University of Texas at Austin]]
| workplaces = [[University of Texas at Austin]]
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'''Radek Bukowski''' is a [[doctor]], academic [[physician]], [[scientist]] and an [[inventor]]. He is the [[director]] of Computational Health & Medicine Initiatives at the Texas Advanced Computing Center, at [[University of Texas at Austin]].<ref name=es>{{cite web|url=https://tacc.utexas.edu/about/staff-directory/radek-bukowski/|title=Computational Health & Medicine Initiatives}}</ref>
'''Radek Bukowski''' is a [[doctor]], academic [[physician]], [[scientist]] and an [[inventor]]. He is the [[director]] of Computational Health & Medicine Initiatives at the Texas Advanced Computing Center, at [[University of Texas at Austin]].<ref name=es>{{Cite web|url=http://tacc.utexas.edu/about/staff-directory/radek-bukowski/|title=Radek Bukowski|website=tacc.utexas.edu}}</ref>


Bukowski is most known for his works in the fields of computational medicine, [[preterm birth]], maternal fetal, and neonatal mortality and morbidity and fetal growth abnormalities. His works have been published in ''[[New England Journal of Medicine]]'' and ''[[American Journal of Obstetrics and Gynecology]]''.<ref>{{cite web|url=https://scholar.google.com/citations?user=wGUOfQMAAAAJ|title=Radek Bukowski - Google Scholar}}</ref> He is also the recipient of 2008 [[March of Dimes]] Award for his research in prematurity.<ref name=esert>{{cite web|url=https://www.eurekalert.org/news-releases/891534|title=Huge drop in preterm birth-risk among women taking folic acid 1 year before conception}}</ref>
Bukowski is most known for his works in the fields of computational medicine, [[preterm birth]], maternal fetal, and neonatal mortality and morbidity and fetal growth abnormalities. His works have been published in ''[[New England Journal of Medicine]]'' and ''[[American Journal of Obstetrics and Gynecology]]''.<ref>{{Cite web|url=https://scholar.google.com/citations?user=wGUOfQMAAAAJ|title=Radek Bukowski|website=scholar.google.com}}</ref> He is also the recipient of 2008 [[March of Dimes]] Award for his research in prematurity.<ref name=esert>{{Cite web|url=https://www.eurekalert.org/news-releases/891534|title=Huge drop in preterm birth-risk among women taking folic acid 1 year before conception|website=EurekAlert!}}</ref>


==Education==
==Education==
Bukowski completed his [[Doctor of Medicine|M.D.]] degree from Poznan University of Medical Sciences in [[Poland]] in 1986. He completed his residency in [[obstetrics and gynecology]] at the same institution between 1986 and 1990. Later in 1993, he obtained a [[PHD|Ph.D.]] in [[Reproductive Sciences]] from [[Free University of Berlin|Freie Universitaet Berlin]]. In 2002, he completed another [[Master of Science|Masters]] in [[Medical Sciences]] from [[University of Texas Medical Branch]] at [[Galveston]].<ref name=uyes>{{cite web|url=https://oden.utexas.edu/people/directory/Radek-Bukowski/|title=Radek Bukowski - ODEN INSTITUTE}}</ref>
Bukowski completed his [[Doctor of Medicine|M.D.]] degree from Poznan University of Medical Sciences in [[Poland]] in 1986. He completed his residency in [[obstetrics and gynecology]] at the same institution between 1986 and 1990. Later in 1993, he obtained a [[PHD|Ph.D.]] in [[Reproductive Sciences]] from [[Free University of Berlin|Freie Universitaet Berlin]]. In 2002, he completed another [[Master of Science|Masters]] in [[Medical Sciences]] from [[University of Texas Medical Branch]] at [[Galveston]].<ref name=uyes>{{Cite web|url=https://oden.utexas.edu/people/directory/Radek-Bukowski/|title=Oden Institute for Computational Engineering and Sciences|website=Oden Institute for Computational Engineering and Sciences}}</ref>


==Career==
==Career==
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Between 2014 and 2016, Bukowski held the position of [[director]] of the Division of Maternal Fetal Medicine in the Department of Obstetrics, Gynecology, and Reproductive Sciences at Yale School of Medicine.<ref name=es/>
Between 2014 and 2016, Bukowski held the position of [[director]] of the Division of Maternal Fetal Medicine in the Department of Obstetrics, Gynecology, and Reproductive Sciences at Yale School of Medicine.<ref name=es/>


Bukowski holds patent to a framework that utilizes a computer system and machine learning model to predict the probability of Cesarean delivery during attempted vaginal delivery based on characteristic values of a pregnancy.<ref>{{cite web|url=https://patents.google.com/patent/WO2022098839A1/en?q=(radek+bukowski)&oq=radek+bukowski|title=Individual optimal mode of delivery}}</ref>
Bukowski holds patent to a framework that utilizes a computer system and machine learning model to predict the probability of Cesarean delivery during attempted vaginal delivery based on characteristic values of a pregnancy.<ref>{{Cite web|url=https://patents.google.com/patent/WO2022098839A1/en?q=(radek+bukowski)&oq=radek+bukowski|title=Individual optimal mode of delivery}}</ref>


==Research==
==Research==
Bukowski's work has been featured in various media outlets, including ''[[The New York Times|New York Times]]'', ''[[Time (magazine)|Time Magazine]]'', ''[[The Guardian]]'' and ''[[CNN]]''.<ref>{{cite web|url=https://edition.cnn.com/2012/07/17/health/big-baby-mother-health/index.html|title=Having a big baby may mean increased breast cancer risk for mom}}</ref>
Bukowski's work has been featured in various media outlets, including ''[[The New York Times|New York Times]]'', ''[[Time (magazine)|Time Magazine]]'', ''[[The Guardian]]'' and ''[[CNN]]''.<ref>{{Cite web|url=https://www.cnn.com/2012/07/17/health/big-baby-mother-health/index.html|title=Having a big baby may mean increased breast cancer risk for mom|first=Stephanie|last=Smith|date=July 17, 2012|website=CNN}}</ref>


In 2005, Bukowski served as a key contributor in a clinical trial focusing on Down's syndrome screening methods. His collaborative efforts demonstrated the superiority of first-trimester combined screening, showcasing comparable results to second-trimester quadruple screening.<ref>{{cite web|url=https://pubmed.ncbi.nlm.nih.gov/16282175/|title=First-trimester or second-trimester screening, or both, for Down's syndrome}}</ref> Building on this, he delved into obstetric challenges related to stillbirths in 2007. Partnering with other experts in the area, he discussed the challenges in determining their precise causes, reviewing known and suspected factors, and highlighted the importance of systematic evaluation and ongoing research efforts by the NICHD Stillbirth Collaborative Research Network.<ref>{{cite web|url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2699761/|title=WORK-UP OF STILLBIRTH: A REVIEW OF THE EVIDENCE}}</ref> In 2011, with other members of the Network, he conducted a population-based study investigating causes of death among stillbirths. The results revealed that systematic evaluations identified probable or possible causes in the majority of cases, with obstetric conditions and placental abnormalities emerging as the most common factors. Moreover, notable racial disparities in stillbirth rates and causes were also highlighted.<ref>{{cite web|url=https://pubmed.ncbi.nlm.nih.gov/22166605/|title=Causes of death among stillbirths}}</ref> In 2012 research, he and other members of the Network, compared microarray and karyotype analyses in stillbirth cases, concluding that microarray analysis, particularly successful with nonviable tissue, is more likely to provide a genetic diagnosis, especially in cases involving congenital anomalies or when karyotype results are unattainable.<ref>{{cite web|url=https://www.nejm.org/doi/full/10.1056/NEJMoa1201569#:~:text=As%20compared%20with%20karyotype%20analysis,53.8%25%20in%20stillbirths%20with%20anomalies.|title=Karyotype versus Microarray Testing for Genetic Abnormalities after Stillbirth}}</ref>
In 2005, Bukowski served as a key contributor in a clinical trial focusing on Down's syndrome screening methods. His collaborative efforts demonstrated the superiority of first-trimester combined screening, showcasing comparable results to second-trimester quadruple screening.<ref>{{Cite journal|url=https://pubmed.ncbi.nlm.nih.gov/16282175/|title=First-trimester or second-trimester screening, or both, for Down's syndrome|first1=Malone|last1=Fd|first2=Canick|last2=Ja|first3=Ball|last3=Rh|first4=Nyberg|last4=Da|first5=Comstock|last5=Ch|first6=Bukowski|last6=R|first7=Berkowitz|last7=Rl|first8=Gross|last8=Sj|first9=Dugoff|last9=L|first10=Craigo|last10=Sd|first11=Timor-Tritsch|last11=Ie|first12=Carr|last12=Sr|first13=Wolfe|last13=Hm|first14=Dukes|last14=K|first15=Bianchi|last15=Dw|first16=Rudnicka|last16=Ar|first17=Hackshaw|last17=Ak|first18=Lambert-Messerlian|last18=G|first19=Wald|last19=Nj|first20=D'Alton|last20=Me|date=November 10, 2005|journal=The New England journal of medicine|volume=353|issue=19|via=pubmed.ncbi.nlm.nih.gov|doi=10.1056/NEJMoa043693|pmid=16282175}}</ref> Building on this, he delved into obstetric challenges related to stillbirths in 2007. Partnering with other experts in the area, he discussed the challenges in determining their precise causes, reviewing known and suspected factors, and highlighted the importance of systematic evaluation and ongoing research efforts by the NICHD Stillbirth Collaborative Research Network.<ref>{{Cite journal|url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2699761/|title=WORK-UP OF STILLBIRTH: A REVIEW OF THE EVIDENCE|first1=Robert M.|last1=SILVER|first2=Michael W.|last2=VARNER|first3=Uma|last3=REDDY|first4=Robert|last4=GOLDENBERG|first5=Halit|last5=PINAR|first6=Deborah|last6=CONWAY|first7=Radek|last7=BUKOWSKI|first8=Marshall|last8=CARPENTER|first9=Carol|last9=HOGUE|first10=Marian|last10=WILLINGER|first11=Donald|last11=DUDLEY|first12=George|last12=SAADE|first13=Barbara|last13=STOLL|date=May 23, 2007|journal=American journal of obstetrics and gynecology|volume=196|issue=5|pages=433–444|via=PubMed Central|doi=10.1016/j.ajog.2006.11.041|pmid=17466694|pmc=2699761}}</ref> In 2011, with other members of the Network, he conducted a population-based study investigating causes of death among stillbirths. The results revealed that systematic evaluations identified probable or possible causes in the majority of cases, with obstetric conditions and placental abnormalities emerging as the most common factors. Moreover, notable racial disparities in stillbirth rates and causes were also highlighted.<ref>{{Cite journal|url=https://pubmed.ncbi.nlm.nih.gov/22166605/|title=Causes of death among stillbirths|date=December 14, 2011|journal=JAMA|volume=306|issue=22|pages=2459–2468|via=PubMed|doi=10.1001/jama.2011.1823|pmid=22166605|pmc=4562291}}</ref> In 2012 research, he and other members of the Network, compared microarray and karyotype analyses in stillbirth cases, concluding that microarray analysis, particularly successful with nonviable tissue, is more likely to provide a genetic diagnosis, especially in cases involving congenital anomalies or when karyotype results are unattainable.<ref>{{Cite web|url=https://www.nejm.org/doi/full/10.1056/NEJMoa1201569#:~:text=As%20compared%20with%20karyotype%20analysis,53.8%25%20in%20stillbirths%20with%20anomalies.|title=Karyotype versus Microarray Testing for Genetic Abnormalities after Stillbirth &#124; NEJM}}</ref>


Further expanding his research work, Bukowski, along with FD Malone and others, explored the correlation between first-trimester fetal growth, measured by crown-rump length, and birth outcomes in a collaborative study from 2007. This research unveiled a significant association between early fetal growth and birth weight, duration of pregnancy, and a reduced risk of small-for-gestational-age infants.<ref>{{cite web|url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1853211/#:~:text=Pregnancies%20with%20appropriate%20fetal%20growth,infants%20than%20the%20general%20population.|title=Fetal growth in early pregnancy and risk of delivering low birth weight infant: prospective cohort study}}</ref> Moreover, in 2009, he investigated preconceptional folate supplementation and its impact on spontaneous preterm birth in low-risk pregnancies. His findings demonstrated a 50%-70% reduction in the risk of early preterm birth (20-32 weeks) with one or more years of preconceptional folate supplementation. The study also revealed a decreasing risk with longer supplementation periods and no association with other complications.<ref>{{cite web|url=https://pubmed.ncbi.nlm.nih.gov/19434228/|title=Preconceptional folate supplementation and the risk of spontaneous preterm birth: a cohort study}}</ref> In a related research article, he with others introduced a comprehensive system for classifying spontaneous preterm birth. This system allowed for identifying groups of women with similar spontaneous preterm birth origins.<ref>{{cite web|url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456184/#:~:text=We%20defined%209%20potential%20SPTB,maternal%20comorbidities%2C%20and%20familial%20factors.|title=The Phenotype of Spontaneous Preterm Birth: Application of a Clinical Phenotyping Tool}}</ref>
Further expanding his research work, Bukowski, along with FD Malone and others, explored the correlation between first-trimester fetal growth, measured by crown-rump length, and birth outcomes in a collaborative study from 2007. This research unveiled a significant association between early fetal growth and birth weight, duration of pregnancy, and a reduced risk of small-for-gestational-age infants.<ref>{{Cite journal|url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1853211/|title=Fetal growth in early pregnancy and risk of delivering low birth weight infant: prospective cohort study|first1=Radek|last1=Bukowski|first2=Gordon C S|last2=Smith|first3=Fergal D|last3=Malone|first4=Robert H|last4=Ball|first5=David A|last5=Nyberg|first6=Christine H|last6=Comstock|first7=Gary D V|last7=Hankins|first8=Richard L|last8=Berkowitz|first9=Susan J|last9=Gross|first10=Lorraine|last10=Dugoff|first11=Sabrina D|last11=Craigo|first12=Ilan E|last12=Timor-Tritsch|first13=Stephen R|last13=Carr|first14=Honor M|last14=Wolfe|first15=Mary E|last15=D'Alton|date=April 21, 2007|journal=BMJ : British Medical Journal|volume=334|issue=7598|pages=836|via=PubMed Central|doi=10.1136/bmj.39129.637917.AE|pmid=17355993|pmc=1853211}}</ref> Moreover, in 2009, he investigated preconceptional folate supplementation and its impact on spontaneous preterm birth in low-risk pregnancies. His findings demonstrated a 50%-70% reduction in the risk of early preterm birth (20-32 weeks) with one or more years of preconceptional folate supplementation. The study also revealed a decreasing risk with longer supplementation periods and no association with other complications.<ref>{{Cite journal|url=https://pubmed.ncbi.nlm.nih.gov/19434228/|title=Preconceptional folate supplementation and the risk of spontaneous preterm birth: a cohort study|first1=Bukowski|last1=R|first2=Malone|last2=Fd|first3=Porter|last3=Ft|first4=Nyberg|last4=Da|first5=Comstock|last5=Ch|first6=Hankins|last6=Gd|first7=Eddleman|last7=K|first8=Gross|last8=Sj|first9=Dugoff|last9=L|first10=Craigo|last10=Sd|first11=Timor-Tritsch|last11=Ie|first12=Carr|last12=Sr|first13=Wolfe|last13=Hm|first14=D'Alton|last14=Me|date=May 5, 2009|journal=PLoS medicine|volume=6|issue=5|via=pubmed.ncbi.nlm.nih.gov|doi=10.1371/journal.pmed.1000061|pmid=19434228}}</ref> In a related research article, he with others introduced a comprehensive system for classifying spontaneous preterm birth. This system allowed for identifying groups of women with similar spontaneous preterm birth origins.<ref>{{Cite journal|url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456184/|title=The Phenotype of Spontaneous Preterm Birth: Application of a Clinical Phenotyping Tool|first1=Tracy A.|last1=Manuck|first2=M. Sean|last2=Esplin|first3=Joseph|last3=Biggio|first4=Radek|last4=Bukowski|first5=Samuel|last5=Parry|first6=Heping|last6=Zhang|first7=Michael W.|last7=Varner|first8=William|last8=Andrews|first9=George|last9=Saade|first10=Yoel|last10=Sadovsky|first11=Uma M.|last11=Reddy|first12=John|last12=Ilekis|date=April 23, 2015|journal=American journal of obstetrics and gynecology|volume=212|issue=4|pages=487.e1–487.e11|via=PubMed Central|doi=10.1016/j.ajog.2015.02.010|pmid=25687564|pmc=4456184}}</ref>


Bukowski's collaborative study with Karen E. Davis and Peter W. F. Wilson found that delivering a small for gestational age (SGA) infant significantly increases a mother's risk of developing ischemic heart disease (IHD) independently of traditional risk factors, suggesting pregnancy-related factors may cause long-term cardiovascular changes.<ref>{{cite web|url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303879/|title=Delivery of a Small for Gestational Age Infant and Greater Maternal Risk of Ischemic Heart Disease}}</ref> He conducted another study, which revealed that women who give birth to infants with higher birth weights are at an increased risk of developing breast cancer later in life, a risk that is independent of their own birth weight, traditional breast cancer risk factors, and is associated with a pregnancy hormonal environment that may promote breast cancer development.<ref>{{cite web|url=https://pubmed.ncbi.nlm.nih.gov/22815728/|title=Birth weight, breast cancer and the potential mediating hormonal environment}}</ref> Moreover, investigating the association between fetal growth abnormalities, specifically small for gestational age (SGA) and large for gestational age (LGA), and the risk of stillbirth, his 2014 research revealed that both severe SGA and severe LGA are associated with an increased risk.<ref>{{cite web|url=https://pubmed.ncbi.nlm.nih.gov/24755550/|title=Fetal growth and risk of stillbirth: a population-based case-control study}}</ref>
Bukowski's collaborative study with Karen E. Davis and Peter W. F. Wilson found that delivering a small for gestational age (SGA) infant significantly increases a mother's risk of developing ischemic heart disease (IHD) independently of traditional risk factors, suggesting pregnancy-related factors may cause long-term cardiovascular changes.<ref>{{Cite journal|url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303879/|title=Delivery of a Small for Gestational Age Infant and Greater Maternal Risk of Ischemic Heart Disease|first1=Radek|last1=Bukowski|first2=Karen E.|last2=Davis|first3=Peter W. F.|last3=Wilson|date=February 23, 2012|journal=PLoS ONE|volume=7|issue=3|via=www.ncbi.nlm.nih.gov|doi=10.1371/journal.pone.0033047|pmid=22431995}}</ref> He conducted another study, which revealed that women who give birth to infants with higher birth weights are at an increased risk of developing breast cancer later in life, a risk that is independent of their own birth weight, traditional breast cancer risk factors, and is associated with a pregnancy hormonal environment that may promote breast cancer development.<ref>{{Cite journal|url=https://pubmed.ncbi.nlm.nih.gov/22815728/|title=Birth weight, breast cancer and the potential mediating hormonal environment|first1=Radek|last1=Bukowski|first2=Rowan T.|last2=Chlebowski|first3=Inger|last3=Thune|first4=Anne-Sofie|last4=Furberg|first5=Gary D. V.|last5=Hankins|first6=Fergal D.|last6=Malone|first7=Mary E.|last7=D'Alton|date=February 23, 2012|journal=PloS One|volume=7|issue=7|pages=e40199|via=PubMed|doi=10.1371/journal.pone.0040199|pmid=22815728|pmc=3398929}}</ref> Moreover, investigating the association between fetal growth abnormalities, specifically small for gestational age (SGA) and large for gestational age (LGA), and the risk of stillbirth, his 2014 research revealed that both severe SGA and severe LGA are associated with an increased risk.<ref>{{Cite journal|url=https://pubmed.ncbi.nlm.nih.gov/24755550/|title=Fetal growth and risk of stillbirth: a population-based case-control study|date=April 23, 2014|journal=PLoS medicine|volume=11|issue=4|pages=e1001633|via=PubMed|doi=10.1371/journal.pmed.1001633|pmid=24755550|pmc=3995658}}</ref>


Concentrating his research efforts on computational medicine, Bukowski's 2021 collaborative study emphasized the constraints of conventional medical decision-making, highlighting the need for individualized care, and proposed the role of computational models in revolutionizing medicine for improved outcomes and cost-of-care reduction.<ref>{{cite web|url=https://pubmed.ncbi.nlm.nih.gov/32841628/|title=Computational medicine, present and the future: obstetrics and gynecology perspective}}</ref>
Concentrating his research efforts on computational medicine, Bukowski's 2021 collaborative study emphasized the constraints of conventional medical decision-making, highlighting the need for individualized care, and proposed the role of computational models in revolutionizing medicine for improved outcomes and cost-of-care reduction.<ref>{{Cite journal|url=https://pubmed.ncbi.nlm.nih.gov/32841628/|title=Computational medicine, present and the future: obstetrics and gynecology perspective|first1=Radek|last1=Bukowski|first2=Karl|last2=Schulz|first3=Kelly|last3=Gaither|first4=Keri K.|last4=Stephens|first5=Dave|last5=Semeraro|first6=Justin|last6=Drake|first7=Gordon|last7=Smith|first8=Craig|last8=Cordola|first9=Thaleia|last9=Zariphopoulou|first10=Thomas J. R.|last10=Hughes|first11=Christopher|last11=Zarins|first12=Dimitri|last12=Kusnezov|first13=Donna|last13=Howard|first14=Tinsley|last14=Oden|date=January 23, 2021|journal=American Journal of Obstetrics and Gynecology|volume=224|issue=1|pages=16–34|via=PubMed|doi=10.1016/j.ajog.2020.08.057|pmid=32841628}}</ref>


==Awards and honors==
==Awards and honors==

Revision as of 07:26, 23 February 2024

Radek Bukowski
Occupation(s)Doctor, academic physician scientist and inventor
Academic background
EducationM.D.
Ph.D., Reproductive Sciences
M.S., Medical Sciences
Alma materPoznan University of Medical Sciences
Freie Universitaet Berlin
Academic work
InstitutionsUniversity of Texas at Austin

Radek Bukowski is a doctor, academic physician, scientist and an inventor. He is the director of Computational Health & Medicine Initiatives at the Texas Advanced Computing Center, at University of Texas at Austin.[1]

Bukowski is most known for his works in the fields of computational medicine, preterm birth, maternal fetal, and neonatal mortality and morbidity and fetal growth abnormalities. His works have been published in New England Journal of Medicine and American Journal of Obstetrics and Gynecology.[2] He is also the recipient of 2008 March of Dimes Award for his research in prematurity.[3]

Education

Bukowski completed his M.D. degree from Poznan University of Medical Sciences in Poland in 1986. He completed his residency in obstetrics and gynecology at the same institution between 1986 and 1990. Later in 1993, he obtained a Ph.D. in Reproductive Sciences from Freie Universitaet Berlin. In 2002, he completed another Masters in Medical Sciences from University of Texas Medical Branch at Galveston.[4]

Career

In 1998, Bukowski joined the Department of Obstetrics and Gynecology at the University of Texas Medical Branch as an Assistant Professor, a position he held until 1999. Subsequently, he pursued a fellowship in the Division of Maternal Fetal Medicine within the Department of Obstetrics and Gynecology at the University of Texas Medical Branch from 1999 to 2002. Following this, he assumed the role of assistant professor of obstetrics and gynecology in the Division of Maternal Fetal Medicine at the University of Texas Medical Branch. Between 2005 and 2010, he served as an associate professor. This led to his appointment as a professor of obstetrics and gynecology in the same department, where he served from 2010 to 2014. In 2014, he moved to the Yale School of Medicine, holding the position of professor of obstetrics, gynecology, and reproductive sciences. From 2016 to 2023, he held the position of professor in the department of Women's Health at the University of Texas at Austin.[4]

Between 2014 and 2016, Bukowski held the position of director of the Division of Maternal Fetal Medicine in the Department of Obstetrics, Gynecology, and Reproductive Sciences at Yale School of Medicine.[1]

Bukowski holds patent to a framework that utilizes a computer system and machine learning model to predict the probability of Cesarean delivery during attempted vaginal delivery based on characteristic values of a pregnancy.[5]

Research

Bukowski's work has been featured in various media outlets, including New York Times, Time Magazine, The Guardian and CNN.[6]

In 2005, Bukowski served as a key contributor in a clinical trial focusing on Down's syndrome screening methods. His collaborative efforts demonstrated the superiority of first-trimester combined screening, showcasing comparable results to second-trimester quadruple screening.[7] Building on this, he delved into obstetric challenges related to stillbirths in 2007. Partnering with other experts in the area, he discussed the challenges in determining their precise causes, reviewing known and suspected factors, and highlighted the importance of systematic evaluation and ongoing research efforts by the NICHD Stillbirth Collaborative Research Network.[8] In 2011, with other members of the Network, he conducted a population-based study investigating causes of death among stillbirths. The results revealed that systematic evaluations identified probable or possible causes in the majority of cases, with obstetric conditions and placental abnormalities emerging as the most common factors. Moreover, notable racial disparities in stillbirth rates and causes were also highlighted.[9] In 2012 research, he and other members of the Network, compared microarray and karyotype analyses in stillbirth cases, concluding that microarray analysis, particularly successful with nonviable tissue, is more likely to provide a genetic diagnosis, especially in cases involving congenital anomalies or when karyotype results are unattainable.[10]

Further expanding his research work, Bukowski, along with FD Malone and others, explored the correlation between first-trimester fetal growth, measured by crown-rump length, and birth outcomes in a collaborative study from 2007. This research unveiled a significant association between early fetal growth and birth weight, duration of pregnancy, and a reduced risk of small-for-gestational-age infants.[11] Moreover, in 2009, he investigated preconceptional folate supplementation and its impact on spontaneous preterm birth in low-risk pregnancies. His findings demonstrated a 50%-70% reduction in the risk of early preterm birth (20-32 weeks) with one or more years of preconceptional folate supplementation. The study also revealed a decreasing risk with longer supplementation periods and no association with other complications.[12] In a related research article, he with others introduced a comprehensive system for classifying spontaneous preterm birth. This system allowed for identifying groups of women with similar spontaneous preterm birth origins.[13]

Bukowski's collaborative study with Karen E. Davis and Peter W. F. Wilson found that delivering a small for gestational age (SGA) infant significantly increases a mother's risk of developing ischemic heart disease (IHD) independently of traditional risk factors, suggesting pregnancy-related factors may cause long-term cardiovascular changes.[14] He conducted another study, which revealed that women who give birth to infants with higher birth weights are at an increased risk of developing breast cancer later in life, a risk that is independent of their own birth weight, traditional breast cancer risk factors, and is associated with a pregnancy hormonal environment that may promote breast cancer development.[15] Moreover, investigating the association between fetal growth abnormalities, specifically small for gestational age (SGA) and large for gestational age (LGA), and the risk of stillbirth, his 2014 research revealed that both severe SGA and severe LGA are associated with an increased risk.[16]

Concentrating his research efforts on computational medicine, Bukowski's 2021 collaborative study emphasized the constraints of conventional medical decision-making, highlighting the need for individualized care, and proposed the role of computational models in revolutionizing medicine for improved outcomes and cost-of-care reduction.[17]

Awards and honors

Selected articles

  • Malone, F. D., Canick, J. A., Ball, R. H., Nyberg, D. A., Comstock, C. H., Bukowski, R., ... & D'Alton, M. E. (2005). First-trimester or second-trimester screening, or both, for Down's syndrome. New England Journal of Medicine, 353(19), 2001-2011.
  • Silver, R. M., Varner, M. W., Reddy, U., Goldenberg, R., Pinar, H., Conway, D., ... & Stoll, B. (2007). Work-up of stillbirth: a review of the evidence. American journal of obstetrics and gynecology, 196(5), 433-444.
  • Bukowski, R., Smith, G. C., Malone, F. D., Ball, R. H., Nyberg, D. A., Comstock, C. H., ... & D'Alton, M. E. (2007). Fetal growth in early pregnancy and risk of delivering low birth weight infant: prospective cohort study. Bmj, 334(7598), 836.
  • Bukowski, R., Carpenter, M., Conway, D., Coustan, D., Dudley, D. J., Goldenberg, R. L., ... & Stillbirth Collaborative Research Network Writing Group. (2012). Causes of death among stillbirths. Obstetrical & Gynecological Survey, 67(4), 223-225.
  • Reddy, U. M., Page, G. P., Saade, G. R., Silver, R. M., Thorsten, V. R., Parker, C. B., ... & Levy, B. (2012). Karyotype versus microarray testing for genetic abnormalities after stillbirth. New England journal of medicine, 367(23), 2185-2193.

References

  1. ^ a b "Radek Bukowski". tacc.utexas.edu.
  2. ^ "Radek Bukowski". scholar.google.com.
  3. ^ a b "Huge drop in preterm birth-risk among women taking folic acid 1 year before conception". EurekAlert!.
  4. ^ a b "Oden Institute for Computational Engineering and Sciences". Oden Institute for Computational Engineering and Sciences.
  5. ^ "Individual optimal mode of delivery".
  6. ^ Smith, Stephanie (July 17, 2012). "Having a big baby may mean increased breast cancer risk for mom". CNN.
  7. ^ Fd, Malone; Ja, Canick; Rh, Ball; Da, Nyberg; Ch, Comstock; R, Bukowski; Rl, Berkowitz; Sj, Gross; L, Dugoff; Sd, Craigo; Ie, Timor-Tritsch; Sr, Carr; Hm, Wolfe; K, Dukes; Dw, Bianchi; Ar, Rudnicka; Ak, Hackshaw; G, Lambert-Messerlian; Nj, Wald; Me, D'Alton (November 10, 2005). "First-trimester or second-trimester screening, or both, for Down's syndrome". The New England journal of medicine. 353 (19). doi:10.1056/NEJMoa043693. PMID 16282175 – via pubmed.ncbi.nlm.nih.gov.
  8. ^ SILVER, Robert M.; VARNER, Michael W.; REDDY, Uma; GOLDENBERG, Robert; PINAR, Halit; CONWAY, Deborah; BUKOWSKI, Radek; CARPENTER, Marshall; HOGUE, Carol; WILLINGER, Marian; DUDLEY, Donald; SAADE, George; STOLL, Barbara (May 23, 2007). "WORK-UP OF STILLBIRTH: A REVIEW OF THE EVIDENCE". American journal of obstetrics and gynecology. 196 (5): 433–444. doi:10.1016/j.ajog.2006.11.041. PMC 2699761. PMID 17466694 – via PubMed Central.
  9. ^ "Causes of death among stillbirths". JAMA. 306 (22): 2459–2468. December 14, 2011. doi:10.1001/jama.2011.1823. PMC 4562291. PMID 22166605 – via PubMed.
  10. ^ "Karyotype versus Microarray Testing for Genetic Abnormalities after Stillbirth | NEJM".
  11. ^ Bukowski, Radek; Smith, Gordon C S; Malone, Fergal D; Ball, Robert H; Nyberg, David A; Comstock, Christine H; Hankins, Gary D V; Berkowitz, Richard L; Gross, Susan J; Dugoff, Lorraine; Craigo, Sabrina D; Timor-Tritsch, Ilan E; Carr, Stephen R; Wolfe, Honor M; D'Alton, Mary E (April 21, 2007). "Fetal growth in early pregnancy and risk of delivering low birth weight infant: prospective cohort study". BMJ : British Medical Journal. 334 (7598): 836. doi:10.1136/bmj.39129.637917.AE. PMC 1853211. PMID 17355993 – via PubMed Central.
  12. ^ R, Bukowski; Fd, Malone; Ft, Porter; Da, Nyberg; Ch, Comstock; Gd, Hankins; K, Eddleman; Sj, Gross; L, Dugoff; Sd, Craigo; Ie, Timor-Tritsch; Sr, Carr; Hm, Wolfe; Me, D'Alton (May 5, 2009). "Preconceptional folate supplementation and the risk of spontaneous preterm birth: a cohort study". PLoS medicine. 6 (5). doi:10.1371/journal.pmed.1000061. PMID 19434228 – via pubmed.ncbi.nlm.nih.gov.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  13. ^ Manuck, Tracy A.; Esplin, M. Sean; Biggio, Joseph; Bukowski, Radek; Parry, Samuel; Zhang, Heping; Varner, Michael W.; Andrews, William; Saade, George; Sadovsky, Yoel; Reddy, Uma M.; Ilekis, John (April 23, 2015). "The Phenotype of Spontaneous Preterm Birth: Application of a Clinical Phenotyping Tool". American journal of obstetrics and gynecology. 212 (4): 487.e1–487.e11. doi:10.1016/j.ajog.2015.02.010. PMC 4456184. PMID 25687564 – via PubMed Central.
  14. ^ Bukowski, Radek; Davis, Karen E.; Wilson, Peter W. F. (February 23, 2012). "Delivery of a Small for Gestational Age Infant and Greater Maternal Risk of Ischemic Heart Disease". PLoS ONE. 7 (3). doi:10.1371/journal.pone.0033047. PMID 22431995 – via www.ncbi.nlm.nih.gov.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  15. ^ Bukowski, Radek; Chlebowski, Rowan T.; Thune, Inger; Furberg, Anne-Sofie; Hankins, Gary D. V.; Malone, Fergal D.; D'Alton, Mary E. (February 23, 2012). "Birth weight, breast cancer and the potential mediating hormonal environment". PloS One. 7 (7): e40199. doi:10.1371/journal.pone.0040199. PMC 3398929. PMID 22815728 – via PubMed.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  16. ^ "Fetal growth and risk of stillbirth: a population-based case-control study". PLoS medicine. 11 (4): e1001633. April 23, 2014. doi:10.1371/journal.pmed.1001633. PMC 3995658. PMID 24755550 – via PubMed.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  17. ^ Bukowski, Radek; Schulz, Karl; Gaither, Kelly; Stephens, Keri K.; Semeraro, Dave; Drake, Justin; Smith, Gordon; Cordola, Craig; Zariphopoulou, Thaleia; Hughes, Thomas J. R.; Zarins, Christopher; Kusnezov, Dimitri; Howard, Donna; Oden, Tinsley (January 23, 2021). "Computational medicine, present and the future: obstetrics and gynecology perspective". American Journal of Obstetrics and Gynecology. 224 (1): 16–34. doi:10.1016/j.ajog.2020.08.057. PMID 32841628 – via PubMed.
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