John Bukowy, Ph.D.

Assistant Professor

  • Milwaukee WI UNITED STATES
  • Diercks Hall DH426
  • Electrical Engineering and Computer Science

Dr. John Bukowy's area of expertise include software development and machine learning.

Contact

Spotlight

1 min

“Rethink What’s Possible” - MSOE sits down with Sheila Ross and John Bukowy to talk about Humanizing Machine Learning

On Rethink What’s Possible, a podcast by Milwaukee School of Engineering, MSOE students, faculty, staff, alumni and community partners share their inventions, research, industry trends, projects, experiences and how they’re rethinking what's possible.Artificial intelligence. Machine learning. High performance computing. Super computers. These terms have been around for quite a while now, but only in recent years the research has been put into practice and there are no signs of it slowing down.Episode Three, 'Humanizing Machine Learning,' Artificial intelligence (AI) is becoming prominent in more and more industries each day, including health care.Artificial intelligence (AI) is becoming prominent in more and more industries each day, including health care. Join Dr. Sheila Ross and Dr. John Bukowy, AI faculty experts from Milwaukee School of Engineering (MSOE) and student Ethan Hindes as they discuss the advancements of AI in “Humanizing Machine Learning,” part of the MSOE podcast, “Rethink What’s Possible.” They talk about its impact on their research with the Medical College of Wisconsin to identify and assess the severity of damage to blood vessels in kidneys. Hindes also discusses how he found his way to major in computer science. The podcast is available for download and well worth listening to. And, if you are a journalist interested in learning more or arranging an interview with Dr. Ross or Bukowy – simply click on either expert's icon now to arrange an interview today.

John Bukowy, Ph.D.Sheila Ross, Ph.D.

Multimedia

Education, Licensure and Certification

Ph.D.

Physiology

Medical College of Wisconsin

2018

M.S.

Electrical Engineering

Illinois Institute of Technology

2012

B.S.

Biomedical Engineering

Marquette University

2008

Biography

Dr. John Bukowy is an assistant professor in MSOE's Electrical Engineering and Computer Science Department where he teaches courses in computer science, software development and machine learning. He joined the faculty in 2019. Before joining academia, he worked as a lead quality assurance engineer for MERGE Healthcare.

Accomplishments

Best Graduate Student Award

Cardiovascular Research Center Retreat, Medical College of Wisconsin, 2017

Trainee Travel Award

SRC Renal Hemodynamics Conference, Big Sky, Montana, 2016

American Heart Association Predoctoral Fellowship

Medical College of Wisconsin , 2016

Affiliations

  • American Heart Association : Member
  • Biomedical Engineering Society (BMES) : Member

Social

Event and Speaking Appearances

Ultrasound indicator dilution quantifies renal blood flow distribution in salt-resistant and salt-sensitive rat model of hypertension

FASEB Renal Hemodynamics and Cardiovascular Function in Health and Disease  Big Sky, Montana, 2016

Research Grants

T32 NIH Training Grant

Medical College of Wisconsin

2015 - 2016

Selected Publications

Progression of diabetic kidney disease in T2DN rats

American Journal of Physiology. Renal Physiology

Palygin, O., Spires, D., Levchenko, V., Bohovyk, R., Fedoriuk, M., Klemens, C.A., Sykes, O., Bukowy, J.D., Cowley Jr, A.W., Lazar, J., Ilatovskaya, D.V.

2019

Diabetic kidney disease (DKD) is one of the leading pathological causes of decreased renal function and progression to end-stage kidney failure. To explore and characterize age-related changes in DKD and associated glomerular damage, we used a rat model of type 2 diabetic nephropathy (T2DN) at 12 weeks and older than 48 weeks. Then we compared their disease progression with control non-diabetic Wistar and diabetic Goto-Kakizaki (GK) rats. During the early stages of DKD, T2DN and GK animals revealed significant increases in blood glucose and kidney-to-body weight ratio. Both diabetic groups had significantly altered renin-angiotensin-aldosterone system function. Then, during the later stages of the disease's progression, T2DN rats demonstrated a remarkable increase in renal damage compared with GK and Wistar rats, as indicated by renal hypertrophy, polyuria accompanied by decrease in urine osmolarity, high cholesterol, a significant prevalence of medullary protein casts, and severe forms of glomerular injury. Urinary nephrin shedding indicates a loss of a glomerular slit diaphragm, which also correlates with the dramatic elevation in albuminuria and loss of podocin staining in aged T2DN rats. Furthermore, we used scanning ion microscopy (SICM) topographical analyses to detect and quantify the pathological remodeling in podocyte foot projections of isolated glomeruli from T2DN animals. In summary, T2DN rats developed renal and physiological abnormalities similar to clinical observations in human patients with DKD, including progressive glomerular damage and a significant decrease in RAAS plasma levels, indicating these rats are an excellent model for studying the progression of renal damage in type 2 DKD.

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Therapeutic Suppression of mTOR (Mammalian Target of Rapamycin) Signaling Prevents and Reverses Salt-Induced Hypertension and Kidney Injury in Dahl Salt-Sensitive Rats

Hypertension

Kumar, V., Evans, L.C., Kurth, T., Yang, C., Wollner, C., Nasci, V., Zheleznova, N.N., Bukowy, J., Dayton, A., Cowley Jr, A.W.

2018

mTOR (mammalian target of rapamycin) signaling has emerged as a key regulator in a wide range of cellular processes ranging from cell proliferation, immune responses, and electrolyte homeostasis. mTOR consists of 2 distinct protein complexes, mTORC1 (mTOR complex 1) and mTORC2 (mTOR complex 2) with distinct downstream signaling events. mTORC1 has been implicated in pathological conditions, such as cancer and type 2 diabetes mellitus in humans, and inhibition of this pathway with rapamycin has been shown to attenuate salt-induced hypertension in Dahl salt-sensitive rats. Several studies have found that the mTORC2 pathway is involved in the regulation of renal tubular sodium and potassium transport, but its role in hypertension has remained largely unexplored. In the present study, we, therefore, determined the effect of mTORC2 inhibition with compound PP242 on salt-induced hypertension and renal injury in salt-sensitive rats. We found that PP242 not only completely prevented but also reversed salt-induced hypertension and kidney injury in salt-sensitive rats. PP242 exhibited potent natriuretic actions, and chronic administration tended to produce a negative Na+ balance even during high-salt feeding. The results indicate that mTORC2 and the related downstream associated pathways play an important role in regulation of sodium balance and arterial pressure regulation in salt-sensitive rats. Therapeutic suppression of the mTORC2 pathway represents a novel pathway for the potential treatment of hypertension.

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Region-Based Convolutional Neural Nets for Localization of Glomeruli in Trichrome-Stained Whole Kidney Sections

Journal of the American Society of Nephrology

Bukowy, J.D., Dayton, A., Cloutier, D., Manis, A.D., Staruschenko, A., Lombard, J.H., Woods, L.C.S., Beard, D.A., Cowley, A.W.

2018

Background: Histologic examination of fixed renal tissue is widely used to assess morphology and the progression of disease. Commonly reported metrics include glomerular number and injury. However, characterization of renal histology is a time-consuming and user-dependent process. To accelerate and improve the process, we have developed a glomerular localization pipeline for trichrome-stained kidney sections using a machine learning image classification algorithm.

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