Work with thought leaders and academic experts in Biochemistry

Companies can greatly benefit from working with experts in the field of Biochemistry. These researchers bring a deep understanding of molecular processes, biochemical reactions, and the structure and function of biomolecules. They can provide valuable insights and solutions for various industries, including pharmaceuticals, biotechnology, agriculture, food science, and environmental science. By collaborating with Biochemistry experts, companies can enhance their research and development efforts, accelerate innovation, improve product quality, optimize production processes, and address complex challenges. Their expertise can also contribute to the discovery of new drugs, the development of sustainable technologies, and the improvement of health and well-being.

Researchers on NotedSource with backgrounds in Biochemistry include Ping Luo, Luca Delfinis, Mohammad Imran Khan, Gwendolyn Thomas, Ph.D., CSCS, USAW-L1, Siddharth Maddali, Aayudh Das, Ph.D., Martha G. Lopez-Guerrero, Ph.D., Jordan Woehl, Ph.D., Keiran Thompson, Dr. Everson A Nunes, Ph.D., Dr. Shilpa Patil, Ph.D, Nicolangelo Iannella, IQRAM HUSSAIN, Ph.D., Elena Shersher, Ph.D., and Shariq Usmani, PhD.

Ping Luo

Toronto, Ontario, Canada
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (21)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 16 more
About
8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.
Most Relevant Publications (6+)

23 total publications

Enhancing the prediction of disease–gene associations with multimodal deep learning

Bioinformatics / Mar 02, 2019

Luo, P., Li, Y., Tian, L.-P., & Wu, F.-X. (2019). Enhancing the prediction of disease–gene associations with multimodal deep learning. Bioinformatics, 35(19), 3735–3742. https://doi.org/10.1093/bioinformatics/btz155

Identifying cell types from single-cell data based on similarities and dissimilarities between cells

BMC Bioinformatics / May 01, 2021

Li, Y., Luo, P., Lu, Y., & Wu, F.-X. (2021). Identifying cell types from single-cell data based on similarities and dissimilarities between cells. BMC Bioinformatics, 22(S3). https://doi.org/10.1186/s12859-020-03873-z

Ensemble disease gene prediction by clinical sample-based networks

BMC Bioinformatics / Mar 01, 2020

Luo, P., Tian, L.-P., Chen, B., Xiao, Q., & Wu, F.-X. (2020). Ensemble disease gene prediction by clinical sample-based networks. BMC Bioinformatics, 21(S2). https://doi.org/10.1186/s12859-020-3346-8

A Novel Core-Attachment-Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks

PROTEOMICS / Feb 20, 2019

Xiao, Q., Luo, P., Li, M., Wang, J., & Wu, F.-X. (2019). A Novel Core-Attachment-Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks. PROTEOMICS, 19(5), 1800129. Portico. https://doi.org/10.1002/pmic.201800129

Normalization of the Immune Microenvironment during Lenalidomide Maintenance Is Associated with Sustained MRD Negativity in Patients with Multiple Myeloma

Blood / Nov 05, 2021

Coffey, D. G., Maura, F., Gonzalez-Kozlova, E., Diaz-Mejia3, J., Luo, P., Zhang, Y., Xu, Y., Warren, E. H., Smith, E. L., Cho, H. J., Lesokhin, A., Diamond, B., Kazandjian, D., Pugh, T. J., Green, D. J., Gnjatic, S., & Landgren, O. (2021). Normalization of the Immune Microenvironment during Lenalidomide Maintenance Is Associated with Sustained MRD Negativity in Patients with Multiple Myeloma. Blood, 138(Supplement 1), 329–329. https://doi.org/10.1182/blood-2021-154506

Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets

Computational and Structural Biotechnology Journal / Jan 01, 2022

Mahalanabis, A., Turinsky, A. L., Husić, M., Christensen, E., Luo, P., Naidas, A., Brudno, M., Pugh, T., Ramani, A. K., & Shooshtari, P. (2022). Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets. Computational and Structural Biotechnology Journal, 20, 6375–6387. https://doi.org/10.1016/j.csbj.2022.10.029

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Gwendolyn Thomas, Ph.D., CSCS, USAW-L1

Philadelphia, Pennsylvania, United States of America
Resistance Exercise Physiologist/Performance Enhancement/Optimizing RE Prescription
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (30)
resistance exercise
obesity
breast cancer
chronic disease
inflammation
And 25 more
About
My work has focused on how we can use data to support decisions to individualize monitoring to optimize human performance.  My work has demonstrated that a one size fits all approach is not the way to optimize performance in any setting.  My monitoring approach is one that utilizes a network physiology paradigm, which focuses on nonlinear dynamic interactions. In my athlete monitoring I focus on leveraging EMA and wearables; biological sampling and resistance exercise and conditioning prescribed to elicit a specific biological response.    Additionally, as a practitioner it is important to understand the limitations of athlete monitoring, which is another area research and practice has focused.  This is an important skillset that is currently being utilized by the in a project entitled “Integrating mHealth and Physical Function to Develop a Predictors of Injury and Optimal Performance Model in Special Military Operators “with the Rangers in the 3/75 Ranger Battalion.  This approach is one that quantifies factors such as dosage variables of training and lifestyle factors (sleep, nutrition, life stress).  Using this data, we are working on individualizing acute training sessions to optimize readiness and performance enhancement.   During my time at Syracuse University, I was the professor of record to teach the NSCA CSCS preparation course and lead the strength and conditioning program.  We were developing a master’s in exercise science and I was in the process of working on certification with the NSCA.  We also worked closely with athletics to secure strength and conditioning assistantships to allow for student funding.  I am currently on several NSCA committees, which include the Education and Women’s Committee (next certification cycle).    I am particularly adept at all phases of the athletic performance enhancement and these experiences have given me expertise in evidence based program design, linear and non-linear periodization, exercise endocrinology, resistance exercise physiology and acute and chronic training readiness and non-training parameters
Most Relevant Publications (2+)

51 total publications

Effect of resistance exercise on muscle steroid receptor protein content in strength-trained men and women

Steroids / Nov 01, 2009

Vingren, J. L., Kraemer, W. J., Hatfield, D. L., Volek, J. S., Ratamess, N. A., Anderson, J. M., Häkkinen, K., Ahtiainen, J., Fragala, M. S., & Thomas, G. A. (2009). Effect of resistance exercise on muscle steroid receptor protein content in strength-trained men and women. Steroids, 74(13–14), 1033–1039. https://doi.org/10.1016/j.steroids.2009.08.002

Endogenous opioid peptide responses to opioid and anti-inflammatory medications following eccentric exercise-induced muscle damage

Peptides / Jan 01, 2010

Kraemer, W. J., Joseph, M. F., Volek, J. S., Hoffman, J. R., Ratamess, N. A., Newton, R. U., Fragala, M. S., French, D. N., Rubin, M. A., Scheett, T. P., McGuigan, M. R., Thomas, G. A., Gomez, A. L., Häkkinen, K., & Maresh, C. M. (2010). Endogenous opioid peptide responses to opioid and anti-inflammatory medications following eccentric exercise-induced muscle damage. Peptides, 31(1), 88–93. https://doi.org/10.1016/j.peptides.2009.09.031

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Aayudh Das, Ph.D.

Boston, Massachusetts, United States of America
Scientist at Garuda therapeutics, specialized in Genomics and Computational Biology
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (14)
Transcriptomics
Genomics
Proteomics
Computational Biology
Metabolomics
And 9 more
About
I am a dedicated Scientist-I at Garuda Therapeutics, where I specialize in computational biology and genomics within the R&D department. My work primarily revolves around developing and optimizing pipelines for variant calling using Strelka2 and GATK4 with Whole Genome Sequencing (WGS) to identify oncogenes in human induced pluripotent stem cells (iPSCs). This involves extensive work in the qualification and validation of these pipelines for regulatory filings, as well as leveraging databases such as ClinVar, COSMIC, and DepMap to craft targeted oncogenes panels for deep sequencing. I also apply Next-Generation Sequencing (NGS) for downstream sequencing to validate CRISPR knockouts, including the identification and validation of CRISPR off-targets using techniques like rhAMPseq and Induce-seq. Additionally, my expertise extends to single-cell sequencing analysis and understanding structural variants with Optical Genome Mapping (Bionano). Prior to joining Garuda Therapeutics, I completed a postdoctoral fellowship in computational biology at Pennsylvania State University, where I honed my skills in identifying climate-adaptive variants and conducted Genome-Wide Association Studies (GWAS) to uncover resistance genes against parasites and other stressors. My academic journey began at the University of Vermont, where I explored abiotic stress resistance genes using transcriptomics and developed a robust understanding of RNA-seq data analysis, from assembly to gene annotation. My work is driven by a passion for leveraging computational and genomics tools to address pressing challenges in biology and healthcare, combining my rigorous academic training with a practical, solution-oriented approach to research and development.
Most Relevant Publications (1+)

10 total publications

Investigation of the Cardiotonic Steroids, Marinobufagenin and Resibufogenin, in the Acute Respiratory Distress Syndrome

The FASEB Journal / Apr 01, 2016

Abbas, M. M. K., Chen, Q., Das, A., Oliver, J., Jiang, W., Moorthy, B., Patel, B., Morin, K., & Puschett, J. (2016). Investigation of the Cardiotonic Steroids, Marinobufagenin and Resibufogenin, in the Acute Respiratory Distress Syndrome. The FASEB Journal, 30(S1). Portico. https://doi.org/10.1096/fasebj.30.1_supplement.982.4

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Martha G. Lopez-Guerrero, Ph.D.

Loveland, Colorado, United States of America
Ph.D. in Biomedical sciences, interested in plant-bacteria interactions and their applications in Agriculture
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (5)
Agriculture
Plant-Bacteria interactions
Data Analysis
Genomics
Programing
About
Martha G. Lopez-Guerrero, Ph.D. is a highly educated and experienced scientist with a background in Genomics. She received her Ph.D. in Center for Genomic Sciences from the National Autonomous University of Mexico (UNAM) in 2013. During her graduate studies, she focused on understanding the genetic and molecular mechanisms underlying the interaction of Rhizobium with corn and common bean. After completing her Ph.D., Dr. Lopez-Guerrero pursued a postdoctoral position at the University of Nebraska-Lincoln, where she further honed her skills in genomics and gained experience in Bioinformatics, Biochemistry, Plant sciences and, Agriculture. In addition to her research experience, Dr. Lopez-Guerrero has also presented her work at national and international conferences and has published several articles in peer-reviewed scientific journals. With her strong background in genomics and extensive research experience, Dr. Lopez-Guerrero is a valuable asset to any scientific team. She is committed to making a positive impact in the field of Plant-Sciences and plant-bacteria interactions and is continuously seeking new ways to contribute to the advancement of this important areas of research.

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Jordan Woehl, Ph.D.

San Diego, California, United States of America
Scripps Research/Calibr
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (1)
Molecular Biophysics
About
Jordan Woehl is a highly educated and experienced scientist with a passion for biochemistry and molecular biophysics. He received his Bachelor of Science degree in Medicinal Chemistry from the University of Missouri in 2011, where he gained a strong foundation in the principles and techniques of chemistry. He then pursued a Master of Science degree in Cell and Molecular Biology from the University of Missouri–Kansas City, where he focused on understanding the molecular mechanisms of cellular processes. Continuing his academic journey, Jordan obtained his Ph.D. in Biochemistry and Molecular Biophysics from Kansas State University in 2017. During his doctoral studies, he conducted research on the structure and function of proteins, gaining expertise in techniques such as X-ray crystallography, mass spectrometry, and protein purification. After completing his Ph.D., Jordan continued to expand his knowledge and skills through postdoctoral training at Scripps Research. Here he focused on studying viral proteins and their interactions with the host immune system. Jordan then transitioned to the industry, working as an Analytical Scientist at the International AIDS Vaccine Initiative. In this role, he utilized his expertise in protein analysis to support the development of biologics for various infectious diseases. Currently, Jordan is a Senior Staff Scientist at Scripps Research/Calibr, where he leads a team of researchers in the development of antibody based therapeutics. He is dedicated to advancing scientific knowledge and making a positive impact on human health through his work. In addition to his professional accomplishments, Jordan is also passionate about mentoring and teaching the next generation of scientists. He has served as a mentor to undergraduate and graduate students, helping them develop their research skills and pursue their own scientific passions. Overall, Jordan Woehl is a dedicated and highly skilled scientist with a strong background in biochemistry and molecular biophysics. His education and experience make him a valuable asset to any research team, and his passion for advancing scientific understanding makes him a valuable contributor to the field.

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Dr. Everson A Nunes, Ph.D.

Hamilton, Ontario, Canada
Post-Doctoral Fellow at McMaster University | former Associate Professor - Physiological Sciences
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (39)
skeletal muscle
nutrition
physical activity
obesity
cancer
And 34 more
About
Dr. Everson A Nunes is a highly accomplished researcher and educator in the field of physiological sciences. He received his Ph.D. in Cellular and Molecular Biology with a focus on Physiological Sciences from Universidade Federal do Paraná in 2009, after completing a BSc in Human Nutrition and an MSc in Physiological Sciences. He also holds a specialization in Exercise Physiology and a BSc in Biological Sciences from Universidade Federal do Paraná. Dr. Nunes has a strong background in research, having completed two post-doctoral fellowships at McMaster University and Universidade Federal do Paraná. He has also held positions as an associate professor and assistant professor at Universidade Federal de Santa Catarina. He has published numerous articles in peer-reviewed journals, and his research focuses on the effects of exercise and nutrition on physiological processes in the human body. In addition to his research, Dr. Nunes is also a dedicated educator. He has taught at various universities in Brazil, including Universidade Federal de Santa Catarina, Universidade Gama Filho, Faculdades Integradas Espírita, Pontificia Universidade Católica do Paraná, and Faculdade do Litoral Sul. He is known for his dynamic teaching style and his ability to engage students in complex physiological concepts. Dr. Nunes is a member of several professional organizations, including the American Society for Nutrition, the Canadian Society of Exercise Physiology, the Canadian Nutrition Society and the Brazilian Society of Physiology. He is also a regular speaker at national and international conferences, sharing his expertise and research findings with colleagues and students. Overall, Dr. Nunes is a highly qualified and experienced professional in physiological sciences, metabolism, cancer and nutrition. His dedication to research and education makes him a valuable asset to any institution.
Most Relevant Publications (8+)

97 total publications

Fish Oil Decreases C‐Reactive Protein/Albumin Ratio Improving Nutritional Prognosis and Plasma Fatty Acid Profile in Colorectal Cancer Patients

Lipids / Jul 26, 2013

Mocellin, M. C., Pastore e Silva, J. de A., Camargo, C. de Q., Fabre, M. E. de S., Gevaerd, S., Naliwaiko, K., Moreno, Y. M. F., Nunes, E. A., & Trindade, E. B. S. de M. (2013). Fish Oil Decreases C‐Reactive Protein/Albumin Ratio Improving Nutritional Prognosis and Plasma Fatty Acid Profile in Colorectal Cancer Patients. Lipids, 48(9), 879–888. Portico. https://doi.org/10.1007/s11745-013-3816-0

Fish Oil Supplementation Improves Neutrophil Function During Cancer Chemotherapy

Lipids / Dec 11, 2011

Bonatto, S. J. R., Oliveira, H. H. P., Nunes, E. A., Pequito, D., Iagher, F., Coelho, I., Naliwaiko, K., Kryczyk, M., Brito, G. A. P., Repka, J., Sabóia, L. V., Fukujima, G., Calder, P. C., & Fernandes, L. C. (2011). Fish Oil Supplementation Improves Neutrophil Function During Cancer Chemotherapy. Lipids, 47(4), 383–389. Portico. https://doi.org/10.1007/s11745-011-3643-0

Insulin rapidly increases skeletal muscle mitochondrial ADP sensitivity in the absence of a high lipid environment

Biochemical Journal / Jul 09, 2021

Brunetta, H. S., Petrick, H. L., Vachon, B., Nunes, E. A., & Holloway, G. P. (2021). Insulin rapidly increases skeletal muscle mitochondrial ADP sensitivity in the absence of a high lipid environment. Biochemical Journal, 478(13), 2539–2553. https://doi.org/10.1042/bcj20210264

Nitrate consumption preserves HFD-induced skeletal muscle mitochondrial ADP sensitivity and lysine acetylation: A potential role for SIRT1

Redox Biology / Jun 01, 2022

Brunetta, H. S., Petrick, H. L., Momken, I., Handy, R. M., Pignanelli, C., Nunes, E. A., Piquereau, J., Mericskay, M., & Holloway, G. P. (2022). Nitrate consumption preserves HFD-induced skeletal muscle mitochondrial ADP sensitivity and lysine acetylation: A potential role for SIRT1. Redox Biology, 52, 102307. https://doi.org/10.1016/j.redox.2022.102307

Impact of combined long-term fructose and prednisolone intake on glucose and lipid homeostasis in rats: benefits of intake interruption or fish oil administration

The Journal of Nutritional Biochemistry / Apr 01, 2021

Santos, C. dos, da Silva, J. S., Brunetta, H. S., Chagas, T. R., Zoccal, D. B., Nunes, E. A., & Rafacho, A. (2021). Impact of combined long-term fructose and prednisolone intake on glucose and lipid homeostasis in rats: benefits of intake interruption or fish oil administration. The Journal of Nutritional Biochemistry, 90, 108572. https://doi.org/10.1016/j.jnutbio.2020.108572

Fructose Intake Impairs Cortical Antioxidant Defenses Allied to Hyperlocomotion in Middle-Aged C57BL/6 Female Mice

Neurochemical Research / Sep 23, 2020

dos Santos, B., Schmitz, A. E., de Almeida, G. R. L., de Souza, L. F., Szczepanik, J. C., Nunes, E. A., Brunetta, H. S., Mack, J. M., Prediger, R. D., Cunha, M. P., & Dafre, A. L. (2020). Fructose Intake Impairs Cortical Antioxidant Defenses Allied to Hyperlocomotion in Middle-Aged C57BL/6 Female Mice. Neurochemical Research, 45(12), 2868–2883. https://doi.org/10.1007/s11064-020-03135-7

Does l-leucine supplementation cause any effect on glucose homeostasis in rodent models of glucose intolerance? A systematic review

Amino Acids / Sep 27, 2018

Brunetta, H. S., de Camargo, C. Q., & Nunes, E. A. (2018). Does l-leucine supplementation cause any effect on glucose homeostasis in rodent models of glucose intolerance? A systematic review. Amino Acids, 50(12), 1663–1678. https://doi.org/10.1007/s00726-018-2658-8

Lymphocytes transfer [14C]‐labeled fatty acids to skeletal muscle in culture; modulation by exercise

Cell Biochemistry and Function / May 26, 2010

Brito, G. A. P., Nunes, E. A., Nogata, C., Yamazaky, R. K., Naliwaiko, K., Curi, R., & Fernandes, L. C. (2010). Lymphocytes transfer [14C]‐labeled fatty acids to skeletal muscle in culture; modulation by exercise. Cell Biochemistry and Function, 28(4), 278–282. Portico. https://doi.org/10.1002/cbf.1652

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Dr. Shilpa Patil, Ph.D

Vancouver, British Columbia, Canada
PhD & Postdoc level expertise in Cancer Research
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (11)
Cancer
epigenetics
development
Oncology
Cancer Research
And 6 more
About
Dr. Shilpa Patil is a highly experienced cancer researcher with a strong background in Preclinical studies. She received her Ph.D. in Molecular Medicine from the University of Göttingen in 2020, where she focused on developing novel treatments for pancreatic cancer. Prior to that, she completed her MSc in Regenerative Medicine from Manipal University in 2014 and her BSc in Biotechnology from the same institution in 2012. With over 6 years of research experience, Dr. Patil has worked at prestigious institutions such as the University of British Columbia, University of Göttingen and JNCASR. Her expertise lies in the areas of cancer biology, epigenetics, cell and molecular biology, and regenerative medicine. She has published numerous research articles in reputed journals and has presented her work at various international conferences. Dr. Patil is a dedicated and passionate scientist, committed to using her knowledge and skills to contribute to the fight against cancer. She is driven by her curiosity to unravel complex biological processes and her desire to make a positive impact in the field of cancer research. She is also driven to bridge the academia-industry gap.
Most Relevant Publications (1+)

20 total publications

Oligomers of human histone chaperone NPM1 alter p300/KAT3B folding to induce autoacetylation

Biochimica et Biophysica Acta (BBA) - General Subjects / Aug 01, 2018

Kaypee, S., Sahadevan, S. A., Sudarshan, D., Halder Sinha, S., Patil, S., Senapati, P., Kodaganur, G. S., Mohiyuddin, A., Dasgupta, D., & Kundu, T. K. (2018). Oligomers of human histone chaperone NPM1 alter p300/KAT3B folding to induce autoacetylation. Biochimica et Biophysica Acta (BBA) - General Subjects, 1862(8), 1729–1741. https://doi.org/10.1016/j.bbagen.2018.05.003

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Nicolangelo Iannella

Oslo
Senior Research fellow, The University of Oslo, Faculty of Mathematics and Natural Sciences
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (18)
Neuromorphic circuits
Neural networks, Neural learning and applications
Theoretical and Mathematical neuroscience
Computational neuroscience
Artificial Intelligence
And 13 more
About
Following pre-doctoral studies in Mathematics and Theoretical Physics, I received a PhD in Computational Neuroscience from the University of Electro-Communications, Japan in 2009. From 2009, I was a Postdoctoral Researcher in RIKEN BSI. In 2010, I won the prestigious Australian Research Council (ARC) Australian Postdoctoral Award (APD) fellowship, based at the University of Adelaide from 2010–2014. In 2012 he completed a Graduate Certificate in Education (Higher Education) (GCEHE) from the University of Adelaide. From 2014–2017 he was an adjunct research fellow at the University of South Australia. From 2016–2018, he was a Cascade (Marie Curie) Research Fellow in Mathematical Sciences at the University of Nottingham. From 2018- a research fellow at the University of Oslo. His research interests include AI, Artificial and spiking neural networks and learning algorithms, synaptic plasticity, neuronal dynamics, and neuromorphic engineering. Dr. Iannella is a member of SFN and a Senior member of the IEEE.
Most Relevant Publications (1+)

47 total publications

Optimization in the Design of Natural Structures, Biomaterials, Bioinformatics and Biometric Techniques for Solving Physiological Needs and Ultimate Performance of Bio-devices

Current Bioinformatics / Jun 28, 2019

Wong, K. K. L. (2019). Optimization in the Design of Natural Structures, Biomaterials, Bioinformatics and Biometric Techniques for Solving Physiological Needs and Ultimate Performance of Bio-devices. Current Bioinformatics, 14(5), 374–375. https://doi.org/10.2174/157489361405190628122355

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IQRAM HUSSAIN, Ph.D.

New York City, New York, United States of America
Weill Cornell Medicine, Cornell University, NY, USA
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (32)
Biomedical & Medical Physics
AI (Machine & Deep Learning)
Anesthesiology
Sleep Medicine
Human Gait & brain
And 27 more
About
Iqram Hussain works at the Department of Anesthesiology, Weill Cornell Medicine, Cornell University, NY, USA. Earlier, he was a postdoctoral researcher at the Medical Research Center, Department of Biomedical Engineering, Seoul National University. He pursued a Ph.D. degree in Medical Physics from the University of Science and Technology (UST), South Korea. He worked as a Research Associate with the Korea Research Institute of Standards and Science (KRISS), Daejeon, South Korea. He worked on the Knowledgebase Super Brain (KSB) project at the Electronics and Telecommunication Research Institute (ETRI), Daejeon. He received a B.Sc. degree in mechanical engineering from the Khulna University of Engineering & Technology, Bangladesh, in 2007. He has ten years of work experience in power plant operation and maintenance and power plant project management. His research interests include wearable sleep monitoring, neuroscience, medical physics, human factors, and ergonomics. He has experience in healthcare research, project management, power plant operation, and maintenance. He is a reviewer in IEEE Access, Sensors, Applied Sciences, Biomedical Signal Processing and Control, IEEE Transactions, Science of the Total Environment, Neuroscience Informatics, Brain Sciences, etc. He is a guest editor in special issues of several Journals. Website: https://sites.google.com/view/iqram/home
Most Relevant Publications (7+)

43 total publications

Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages

Sensors / Apr 17, 2022

Hussain, I., Hossain, M. A., Jany, R., Bari, M. A., Uddin, M., Kamal, A. R. M., Ku, Y., & Kim, J.-S. (2022). Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages. Sensors, 22(8), 3079. https://doi.org/10.3390/s22083079

Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal

Sensors / Dec 15, 2022

Islam, M. S., Hussain, I., Rahman, M. M., Park, S. J., & Hossain, M. A. (2022). Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal. Sensors, 22(24), 9859. https://doi.org/10.3390/s22249859

Prediction of Myoelectric Biomarkers in Post-Stroke Gait

Sensors / Aug 07, 2021

Hussain, I., & Park, S.-J. (2021). Prediction of Myoelectric Biomarkers in Post-Stroke Gait. Sensors, 21(16), 5334. https://doi.org/10.3390/s21165334

Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System

Sensors / Oct 21, 2021

Hussain, I., Young, S., & Park, S.-J. (2021). Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System. Sensors, 21(21), 6985. https://doi.org/10.3390/s21216985

Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device

Sensors / Mar 08, 2021

Hussain, I., Young, S., Kim, C. H., Benjamin, H. C. M., & Park, S. J. (2021). Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device. Sensors, 21(5), 1896. https://doi.org/10.3390/s21051896

Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence

Sensors / Feb 21, 2024

Hussain, I., & Jany, R. (2024). Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence. Sensors, 24(5), 1392. https://doi.org/10.3390/s24051392

An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME

Sensors / Aug 27, 2023

Hussain, I., Jany, R., Boyer, R., Azad, A., Alyami, S. A., Park, S. J., Hasan, M. M., & Hossain, M. A. (2023). An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME. Sensors, 23(17), 7452. https://doi.org/10.3390/s23177452

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Elena Shersher, Ph.D.

Miami
Cancer researcher at University of Miami
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (5)
Cancer Research
Molecular Biology
Cell Biology
Drug discovery
Cancer cell signaling
About
Elena Shersher, Ph.D. is a highly skilled and experienced biochemist with a strong background in cancer research. She received her Ph.D. in Biochemistry from Florida International University in 2016, where she was a recipient of a prestigious Presidential fellowship. After completing her Ph.D., Elena continued her career as a clinical program development lead and coordinator at a CRO. In 2017, Elena joined a cancer research team at the University of Miami as a researcher. In this role, she utilized her expertise in advanced laboratory techniques and data analysis to study the role of specific proteins in cancer cell signaling in order to identify promising molecular targets for therapeutic intervention. Elena's research has been published in several prestigious scientific journals, and she has presented her findings at numerous conferences. In addition to her research, Elena is also passionate about mentoring and teaching the next generation of scientists. She has served as a mentor and advisor to undergraduate and graduate students, helping them develop their research skills and guiding them in their academic and career paths. Elena's dedication and contributions to the field of cancer research have made her a valuable asset to the scientific community. With her expertise and experience, she continues to make significant advancements in understanding and treating cancer, bringing hope to those affected by this devastating disease.
Most Relevant Publications (1+)

4 total publications

NACK and INTEGRATOR act coordinately to activate Notch-mediated transcription in tumorigenesis

Cell Communication and Signaling / Sep 22, 2021

Shersher, E., Lahiry, M., Alvarez-Trotta, A., Diluvio, G., Robbins, D. J., Shiekhattar, R., & Capobianco, A. J. (2021). NACK and INTEGRATOR act coordinately to activate Notch-mediated transcription in tumorigenesis. Cell Communication and Signaling, 19(1). https://doi.org/10.1186/s12964-021-00776-1

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Shariq Usmani, PhD

Boston, Massachusetts, United States of America
Massachusetts General Hospital, Harvard Medical School
Most Relevant Research Expertise
Biochemistry
Other Research Expertise (9)
Microbiology
Virology
Immunology
Molecular Biology
Genetics
And 4 more
About
Dr. Shariq Usmani is scientific director at Cabaletta bio, a leader in cell therapy for autoimmune diseases (https://www.cabalettabio.com). He leads a research team in preclinical R&D organization at Cabaletta bio. He directly manage a talented group of Senior Scientists, Scientists and Research Associates to spearhead and drive innovation in cell therapies and biologics in autoimmune disease indications. <br> He is also serves as consultant at Zohdan Bio, where he provides strategic support for preclinical R&D programs focused on gene therapy, genome editing, and virology. With a deep foundation in oncology and biologics, Dr. Usmani has led groundbreaking work in both academia and industry, including his tenures at Sana Biotechnology, Harvard Medical School and Massachusetts General Hospital. He's led and spearheaded the development of innovative in vivo genome editing platforms, optimized viral vectors, and engineered cutting-edge reporter assays.
Most Relevant Publications (1+)

22 total publications

Atomic force microscopy of microvillous cell surface dynamics at fixed and living alveolar type II cells

Analytical and Bioanalytical Chemistry / Nov 30, 2010

Hecht, E., Usmani, S. M., Albrecht, S., Wittekindt, O. H., Dietl, P., Mizaikoff, B., & Kranz, C. (2010). Atomic force microscopy of microvillous cell surface dynamics at fixed and living alveolar type II cells. Analytical and Bioanalytical Chemistry, 399(7), 2369–2378. https://doi.org/10.1007/s00216-010-4407-z

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Example Biochemistry projects

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