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Latest release introduces industry-leading AI performance, optimized workflow integration, and enhanced surgeon usability to streamline imaging-to-intervention planning CHICAGO, July 9, 2025 /PRNewswire/ — SimBioSys®, a clinical AI company leveraging spatial biophysics to drive precision in breast cancer treatment, today announced its third FDA 510(k) clearance for TumorSight™ Viz. The clearance…
Company to share fresh vision and transformative plans for its next chapter at the J.P. Morgan Healthcare Conference …
Latest release introduces industry-leading AI performance, optimized workflow integration, and enhanced surgeon usability to streamline imaging-to-intervention planning CHICAGO, July 9, 2025 /PRNewswire/ — SimBioSys®, a clinical AI company leveraging spatial biophysics to…
Authors: Joseph R. Peterson, PhD1, Brandy Wolff1, Bradley Feiger, PhD1, Vignesh Kannan, MS1, Katrina Rabinovich, MD2, Stefanie A. Woodard, DO3, Kathryn W. Zamora, MD, MPH3 1SimBioSys, Inc., Chicago, IL, USA;…
Authors: Vincent J. Reid, MD, FACS1, Linsey P. Gold, DO, FACOS, FACS2, Eric A. Brown, MD, FACS2, Allison A. DiPasquale, MD3, Anne G. Peled, MD4, Joseph R. Peterson, PhD5, Barry…
Company to share fresh vision and transformative plans for its next chapter at the J.P. Morgan Healthcare Conference CHICAGO, IL – January 9, 2025 – SimBioSys, a pioneering TechBio company…
Our presence at ASBrS will be an excellent opportunity to demonstrate how this synergy has the potential to benefit surgeons and patients by providing a clearer understanding of complex cancer…
PhenoScope™, SimBioSys’ powerful proprietary technology and service, can analyze vast fields of multi-modal data seamlessly, generating novel insights, including unique spatial biophysical insights in a 4-dimension space, for cancer drug…
CHICAGO–(BUSINESS WIRE)–SimBioSys®, a trailblazing TechBio company unlocking the power of spatial biophysics with artificial intelligence (AI) and biophysical modeling to redefine cancer precision medicine, transform patient care and defeat cancer…
-TumorSight™ is a cloud-based digital precision medicine platform intended to support the end-to-end patient journey -TumorSight™ Viz, the first FDA cleared TumorSight™ application, provides clinicians with key 3D spatial visualizations…
January 02, 2024 07:00 AM Eastern Standard Time CHICAGO–(BUSINESS WIRE)–SimBioSys, a TechBio company unlocking the power of spatial biophysics with artificial intelligence (AI) and biophysical modeling to redefine precision medicine…
December 18, 2023 07:00 AM Eastern Standard Time CHICAGO–(BUSINESS WIRE)–SimBioSys, a TechBio company unlocking the power of spatial biophysics with artificial intelligence (AI) and biophysical modeling to redefine precision medicine…
Decision-making for early (Stages 1-3) breast cancer (eBC) surgery is complex and highly personal, requiring discussions between patients and multiple physicians. Shared decision-making (SDM) is an accepted process but its use by physicians is low due…
Neoadjuvant therapy (NAT) has become a standard-of-care (SOC) for patients diagnosed with locally advanced or early-stage breast cancer. While pathological complete response (pCR) is commonly used to measure NAT effectiveness, patients who do not achieve pCR may…
The decision-making process regarding breast cancer treatment options, specifically breast conserving surgery (BCS) versus mastectomy, is a complex and sensitive matter that takes into account the patient’s preferences and the surgeon’s clinical…
Traditionally, multi-focal breast cancer results in mastectomy. The Alliance Trial offers a paradigm shift in surgical options available for multi-focal breast cancer patients in the context of adjuvant chemotherapy. In the trial, patients…
Metabolic reprogramming and tumor angiogenesis are two tightly linked hallmarks of cancer. Regions of high metabolic activity within a tumor can become hypoxic or nutrient starved, eliciting a cascade of pro-angiogenic signals that…
As new antibody drug conjugates are developed, the question of which specific patients will respond to these therapies remains. This work develops a spatial PK/PD model for the antibody drug conjugate trastuzumab emtansine, T-DM1, and explores…
The ESMO Breast Cancer 2022 took place in Berlin on May 3 – 5. A well-attended conference covering a broad range of breast cancer topics. Our team was there to…
We developed an ensembled suite of convolutional neural networks (core components of SimBioSys TumorSight) that segmented tumor and other tissues, in and around the breast (chest, adipose, gland, vasculature, skin).…
Here, we applied an integrative computational approach to develop the IOScope biomarker, which predicts IO response in ESBC.
The potential to expand the current treatment for HER2-low and -zero patients, highlights the limitations of traditional HER2 assessment, including HER2 intra-tumoral heterogeneity, differential IHC pathology staining, and inter-reader variability.…
Here, we developed two solutions to communication bottlenecks that speed-up simulation by ∼4-fold for hybrid stochastic-deterministic simulations and by over 100-fold for fully deterministic simulations.
Here, we perform a study in an independent cohort of early-stage and locally advanced breast cancer patients to forecast tumor response to NAT and assess the stability of a previously…
Here, we perform a study in an independent cohort of early-stage and locally advanced breast cancer patients to forecast tumor response to NAT and assess the stability of a previously…
Here we performed a proof-of-concept study using trastuzumab emtansine (TDM1), a targeted drug for HER2-enriched breast cancer, to demonstrate how biophysical modeling can support dose selection in phase I clinical…
The last decade in cancer care has been defined by the rapid emergence (and in some cases, dominance), of monoclonal antibody therapies, where they serve as a critical foundation of…
Pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) in early breast cancer (EBC) is largely dependent on breast cancer subtype, but no clinical-grade model exists to predict response and guide…
Our chief medical officer, Dr. Anuja Antony, represented SimBioSys at the ESMO 2022 conference last month. Among the many exciting advances and developments in the breast cancer field, two topics…
SimBioSys® is developing the TumorScope® platform to capture what is truly unique about each patient. The NVIDIA GPU-powered platform takes a holistic and multiscale approach to assess tumor response to…
SimBioSys is one of the 2022 best tech startups in Champaign! “The Tech Tribune staff has compiled the very best tech startups in Champaign, Illinois. In doing our research, we considered…
Our team was present at the American Society of Clinical Oncology (ASCO) annual meeting that took place from June 3 – 7, 2022. Perhaps the most impactful moment for breast…
CHICAGO – JUNE 3, 2022 — SimBioSys, the technology company that predicts tumor responses to therapy, announced today it will showcase research at the American Society of Clinical Oncology (ASCO)…
Abstract Background: Race-related differences in breast cancer incidence and clinical outcome have been well documented, with many studies focusing on socioeconomic determinants contributing to African American (AA) breast cancer patients…
Abstract Tumor heterogeneity is known to play a key role in drug response and resistance. However, knowledge of tumor heterogeneity is largely limited to genetics and biopsy samples representing one…
Abstract Background: The 21-gene (Oncotype DX) recurrence score (RS) has been utilized as a prognostic assay in patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2–) breast…
Abstract While most cancer patients are treated at community hospitals, specialized equipment, diagnostic tests, and therapeutic regimens are generally validated at academic settings. Here we present a novel approach to…
Abstract Background: During the I-SPY2 clinical trial, ganitumab (G) immunotherapy (IO) was co-administered with metformin (GM) to counteract G-induced hyperglycemia. The GM + standard of care (SOC) combination showed promising…
The ESMO Breast Cancer 2022 took place in Berlin on May 3 – 5. A well-attended conference covering a broad range of breast cancer topics. Our team was there to…
Abstract: Breast cancer is a highly heterogeneous disease. Prognosis and treatment are usually decided based on the expression of 3 molecular markers; one being the human epidermal growth factor receptor…
Abstract: Cancer heterogeneity is associated with drug resistance, risk of disease recurrence and metastasis. Pathology allows for the assessment of heterogeneity in the tumor. However, this assessment is limited to…
Abstract: With the rapidly changing landscape of early-stage breast cancer, there is a significant need for upfront biomarkers to enable physicians to “right-size” therapy for patients. It is well known…
After two consecutive years of virtually holding the annual meeting of the American Association for Cancer Research (AACR), the conference returned to an in-person format, while retaining a hybrid option…
The company’s first appearance at this prestigious cancer research conference profiles use cases of platform for cancer treatment planning and as a cancer research tool.
Abstract: Heterogeneity is a hallmark of cancer and perhaps one of the most important features associated with resistance to therapies and likelihood of recurrence and/or metastasis. Genomic instability contributes to…
Abstract: Breast cancer (BC) progression during NAT is associated with development of distant metastases, positive LN status, and decreased OS/RFS. These can occur in the context of clinical trials and…
Abstract: TNBC is the most aggressive of breast cancer subtypes and lacks targeted therapies. Thus, tumor aggressiveness is an important factor to determine escalation of care for TNBC patients. Currently,…
Abstract: Background: Metabolic disfunction is one of the hallmarks of cancer, and metabolism-based therapies are a key class of chemotherapeutics. Despite this, there has previously been no systematic way to…
Abstract: Background: One of the hallmarks of cancer is metabolic dysregulation that has been therapeutically targeted with metabolism-based therapies, an important class of chemotherapeutics. However, there has previously been no…
Abstract: Background: Tumor cells are able to reprogram their metabolism in order to sustain continuous growth and proliferation. Although, this has led to the development of metabolism-based therapies, until now…
Abstract: Neoadjuvant Therapy (NAT) for breast cancer results in higher rates of breast conservation surgery. Importantly, there is data supporting the use of multiple NAT regimens, with little guidance as…
Abstract: Tumor heterogeneity, understood as the intrinsic (e.g., mutations, dysregulation, metabolic reprogramming) and extrinsic (e.g., nutrient/drug perfusion, interactions with surrounding tissues and the tumor microenvironment (TME)) to the cells that…
Abstract: Background: Racial disparities in breast cancer incidence and clinical outcome have been well characterized. In particular, African American (AA) patients have higher mortality rates than other racial groups. Research…
No two tumors are alike. What if we could model treatment planning for each individual patient? Meet TumorScope – the first of its kind 4D Tumor Modeling platform that combines…
From December 7th -10th the San Antonio Breast Cancer Symposium gathered breast cancer experts from all over the world to share the latest medical and scientific advances in the breast…
Precision medicine has come a long way in terms of breast cancer treatment but more needs to be done for the non-responder patients, for those who need financial support, for…
Frederick Howard, MD, a medical oncology fellow in the Department of Medicine at the University of Chicago, discussed the clinical benefits of the SimBioSys TumorScope model for the treatment of…
Genoa Ventures and Northpond Ventures co-lead investment in precision medicine platform that develops virtual tumors in 3D to predict response to therapy using standard-of-care data
Most of us have experienced the pain of a friend or family member’s cancer diagnosis and treatment in our lives. The process of diagnosis, treatment and monitoring — and the…
Each week, staff writer Paul Wood interviews a high-tech difference-maker. This week, meet TUSHAR PANDEY, chief executive officer at SimBioSys Inc. in the University of Illinois Research Park. The company is…
Abstract: Spatial organization is a characteristic of all cells, achieved in eukaryotic cells by utilizing both membrane-bound and membrane-less organelles. One of the key processes in eukaryotes is RNA splicing,…
Abstract: JCVI-syn3A, a robust minimal cell with a 543 kbp genome and 493 genes, provides a versatile platform to study the basics of life. Using the vast amount of experimental…
Abstract: The plasma membrane of the cell is a complex, tightly regulated, heterogeneous environment shaped by proteins, lipids, and small molecules. Ca2+ ions are important cellular messengers, spatially separated from…
Abstract: Background Recent results from single cell gene and protein regulation studies are starting to uncover the previously underappreciated fact that individual cells within a population exhibit high variability in…
Abstract: Using protein counts sampled from single cell proteomics distributions to constrain fluxes through a genome-scale model of metabolism, Population flux balance analysis (Population FBA) successfully described metabolic heterogeneity in…
Abstract: Peripheral arterial disease (PAD) is a debilitating complication of diabetes mellitus (DM) that leads to thousands of injuries, amputations, and deaths each year. The use of mesenchymal stem cells…
Abstract: Characterizing the complex spatial and temporal interactions among cells in a biological system (i.e. bacterial colony, microbiome, tissue, etc.) remains a challenge. Metabolic cooperativity in these systems can arise…
Abstract: In order to grow and replicate, living cells must express a diverse array of proteins, but the process by which proteins are made includes a great deal of inherent…
Abstract: Cryo-electron tomography (cryo-ET) has rapidly emerged as a powerful tool to investigate the internal, three-dimensional spatial organization of the cell. In parallel, the GPU-based technology to perform spatially resolved…
Background While a few studies on the variations in mRNA expression and half-lives measured under different growth conditions have been used to predict patterns of regulation in bacterial organisms, the…
Abstract: Ribosomes-the primary macromolecular machines responsible for translating the genetic code into proteins-are complexes of precisely folded RNA and proteins. The ways in which their production and assembly are managed…
Abstract: There are several sources of fluctuations in gene expression. Here we study the effects of time-dependent DNA replication, itself a tightly controlled process, on noise in mRNA levels. Stochastic…
Abstract: Background A hallmark of chronic liver disease is the impairment of the liver’s innate regenerative ability. In this work we use a computational approach to unravel the principles underlying…
Abstract: Following partial hepatectomy, a coordinated series of molecular events occurs to regulate hepatocyte entry into the cell cycle to recover lost mass. In rats during the first 6 h…
Background The exchange of metabolites and the reprogramming of metabolism in response to shifting microenvironmental conditions can drive subpopulations of cells within colonies toward divergent behaviors. Understanding the interactions of…
Abstract: Simulation of in vivo cellular processes with the reaction–diffusion master equation (RDME) is a computationally expensive task. Our previous software enabled simulation of inhomogeneous biochemical systems for small bacteria…
Abstract: Conditions and parameters affecting the range of bistability of the lac genetic switch in Escherichia coli are examined for a model which includes DNA looping interactions with the lac…
Authors: Joseph R. Peterson, PhD1, Brandy Wolff1, Bradley Feiger, PhD1, Vignesh Kannan, MS1, Katrina Rabinovich, MD2, Stefanie A. Woodard, DO3, Kathryn W. Zamora, MD, MPH3 1SimBioSys, Inc., Chicago, IL, USA;…
Authors: Vincent J. Reid, MD, FACS1, Linsey P. Gold, DO, FACOS, FACS2, Eric A. Brown, MD, FACS2, Allison A. DiPasquale, MD3, Anne G. Peled, MD4, Joseph R. Peterson, PhD5, Barry…
Decision-making for early (Stages 1-3) breast cancer (eBC) surgery is complex and highly personal, requiring discussions between patients and multiple physicians. Shared decision-making (SDM) is an accepted process but its use by physicians is low due…
Neoadjuvant therapy (NAT) has become a standard-of-care (SOC) for patients diagnosed with locally advanced or early-stage breast cancer. While pathological complete response (pCR) is commonly used to measure NAT effectiveness, patients who do not achieve pCR may…
The decision-making process regarding breast cancer treatment options, specifically breast conserving surgery (BCS) versus mastectomy, is a complex and sensitive matter that takes into account the patient’s preferences and the surgeon’s clinical…
Traditionally, multi-focal breast cancer results in mastectomy. The Alliance Trial offers a paradigm shift in surgical options available for multi-focal breast cancer patients in the context of adjuvant chemotherapy. In the trial, patients…
Metabolic reprogramming and tumor angiogenesis are two tightly linked hallmarks of cancer. Regions of high metabolic activity within a tumor can become hypoxic or nutrient starved, eliciting a cascade of pro-angiogenic signals that…
As new antibody drug conjugates are developed, the question of which specific patients will respond to these therapies remains. This work develops a spatial PK/PD model for the antibody drug conjugate trastuzumab emtansine, T-DM1, and explores…
We developed an ensembled suite of convolutional neural networks (core components of SimBioSys TumorSight) that segmented tumor and other tissues, in and around the breast (chest, adipose, gland, vasculature, skin).…
Here, we applied an integrative computational approach to develop the IOScope biomarker, which predicts IO response in ESBC.
The potential to expand the current treatment for HER2-low and -zero patients, highlights the limitations of traditional HER2 assessment, including HER2 intra-tumoral heterogeneity, differential IHC pathology staining, and inter-reader variability.…
Here, we developed two solutions to communication bottlenecks that speed-up simulation by ∼4-fold for hybrid stochastic-deterministic simulations and by over 100-fold for fully deterministic simulations.
Here, we perform a study in an independent cohort of early-stage and locally advanced breast cancer patients to forecast tumor response to NAT and assess the stability of a previously…
Here, we perform a study in an independent cohort of early-stage and locally advanced breast cancer patients to forecast tumor response to NAT and assess the stability of a previously…
Here we performed a proof-of-concept study using trastuzumab emtansine (TDM1), a targeted drug for HER2-enriched breast cancer, to demonstrate how biophysical modeling can support dose selection in phase I clinical…
Pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) in early breast cancer (EBC) is largely dependent on breast cancer subtype, but no clinical-grade model exists to predict response and guide…
Abstract Background: Race-related differences in breast cancer incidence and clinical outcome have been well documented, with many studies focusing on socioeconomic determinants contributing to African American (AA) breast cancer patients…
Abstract Tumor heterogeneity is known to play a key role in drug response and resistance. However, knowledge of tumor heterogeneity is largely limited to genetics and biopsy samples representing one…
Abstract Background: The 21-gene (Oncotype DX) recurrence score (RS) has been utilized as a prognostic assay in patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2–) breast…
Abstract While most cancer patients are treated at community hospitals, specialized equipment, diagnostic tests, and therapeutic regimens are generally validated at academic settings. Here we present a novel approach to…
Abstract Background: During the I-SPY2 clinical trial, ganitumab (G) immunotherapy (IO) was co-administered with metformin (GM) to counteract G-induced hyperglycemia. The GM + standard of care (SOC) combination showed promising…
Abstract: Breast cancer is a highly heterogeneous disease. Prognosis and treatment are usually decided based on the expression of 3 molecular markers; one being the human epidermal growth factor receptor…
Abstract: Cancer heterogeneity is associated with drug resistance, risk of disease recurrence and metastasis. Pathology allows for the assessment of heterogeneity in the tumor. However, this assessment is limited to…
Abstract: With the rapidly changing landscape of early-stage breast cancer, there is a significant need for upfront biomarkers to enable physicians to “right-size” therapy for patients. It is well known…
Abstract: Heterogeneity is a hallmark of cancer and perhaps one of the most important features associated with resistance to therapies and likelihood of recurrence and/or metastasis. Genomic instability contributes to…
Abstract: Breast cancer (BC) progression during NAT is associated with development of distant metastases, positive LN status, and decreased OS/RFS. These can occur in the context of clinical trials and…
Abstract: TNBC is the most aggressive of breast cancer subtypes and lacks targeted therapies. Thus, tumor aggressiveness is an important factor to determine escalation of care for TNBC patients. Currently,…
Abstract: Background: Metabolic disfunction is one of the hallmarks of cancer, and metabolism-based therapies are a key class of chemotherapeutics. Despite this, there has previously been no systematic way to…
Abstract: Background: One of the hallmarks of cancer is metabolic dysregulation that has been therapeutically targeted with metabolism-based therapies, an important class of chemotherapeutics. However, there has previously been no…
Abstract: Background: Tumor cells are able to reprogram their metabolism in order to sustain continuous growth and proliferation. Although, this has led to the development of metabolism-based therapies, until now…
Abstract: Neoadjuvant Therapy (NAT) for breast cancer results in higher rates of breast conservation surgery. Importantly, there is data supporting the use of multiple NAT regimens, with little guidance as…
Abstract: Tumor heterogeneity, understood as the intrinsic (e.g., mutations, dysregulation, metabolic reprogramming) and extrinsic (e.g., nutrient/drug perfusion, interactions with surrounding tissues and the tumor microenvironment (TME)) to the cells that…
Abstract: Background: Racial disparities in breast cancer incidence and clinical outcome have been well characterized. In particular, African American (AA) patients have higher mortality rates than other racial groups. Research…
Abstract: Spatial organization is a characteristic of all cells, achieved in eukaryotic cells by utilizing both membrane-bound and membrane-less organelles. One of the key processes in eukaryotes is RNA splicing,…
Abstract: JCVI-syn3A, a robust minimal cell with a 543 kbp genome and 493 genes, provides a versatile platform to study the basics of life. Using the vast amount of experimental…
Abstract: The plasma membrane of the cell is a complex, tightly regulated, heterogeneous environment shaped by proteins, lipids, and small molecules. Ca2+ ions are important cellular messengers, spatially separated from…
Abstract: Background Recent results from single cell gene and protein regulation studies are starting to uncover the previously underappreciated fact that individual cells within a population exhibit high variability in…
Abstract: Using protein counts sampled from single cell proteomics distributions to constrain fluxes through a genome-scale model of metabolism, Population flux balance analysis (Population FBA) successfully described metabolic heterogeneity in…
Abstract: Peripheral arterial disease (PAD) is a debilitating complication of diabetes mellitus (DM) that leads to thousands of injuries, amputations, and deaths each year. The use of mesenchymal stem cells…
Abstract: Characterizing the complex spatial and temporal interactions among cells in a biological system (i.e. bacterial colony, microbiome, tissue, etc.) remains a challenge. Metabolic cooperativity in these systems can arise…
Abstract: In order to grow and replicate, living cells must express a diverse array of proteins, but the process by which proteins are made includes a great deal of inherent…
Abstract: Cryo-electron tomography (cryo-ET) has rapidly emerged as a powerful tool to investigate the internal, three-dimensional spatial organization of the cell. In parallel, the GPU-based technology to perform spatially resolved…
Background While a few studies on the variations in mRNA expression and half-lives measured under different growth conditions have been used to predict patterns of regulation in bacterial organisms, the…
Abstract: Ribosomes-the primary macromolecular machines responsible for translating the genetic code into proteins-are complexes of precisely folded RNA and proteins. The ways in which their production and assembly are managed…
Abstract: There are several sources of fluctuations in gene expression. Here we study the effects of time-dependent DNA replication, itself a tightly controlled process, on noise in mRNA levels. Stochastic…
Abstract: Background A hallmark of chronic liver disease is the impairment of the liver’s innate regenerative ability. In this work we use a computational approach to unravel the principles underlying…
Abstract: Following partial hepatectomy, a coordinated series of molecular events occurs to regulate hepatocyte entry into the cell cycle to recover lost mass. In rats during the first 6 h…
Background The exchange of metabolites and the reprogramming of metabolism in response to shifting microenvironmental conditions can drive subpopulations of cells within colonies toward divergent behaviors. Understanding the interactions of…
Abstract: Simulation of in vivo cellular processes with the reaction–diffusion master equation (RDME) is a computationally expensive task. Our previous software enabled simulation of inhomogeneous biochemical systems for small bacteria…
Abstract: Conditions and parameters affecting the range of bistability of the lac genetic switch in Escherichia coli are examined for a model which includes DNA looping interactions with the lac…
Latest release introduces industry-leading AI performance, optimized workflow integration, and enhanced surgeon usability to streamline imaging-to-intervention planning CHICAGO, July 9, 2025 /PRNewswire/ — SimBioSys®, a clinical AI company leveraging spatial biophysics to…
Company to share fresh vision and transformative plans for its next chapter at the J.P. Morgan Healthcare Conference CHICAGO, IL – January 9, 2025 – SimBioSys, a pioneering TechBio company…
Our presence at ASBrS will be an excellent opportunity to demonstrate how this synergy has the potential to benefit surgeons and patients by providing a clearer understanding of complex cancer…
PhenoScope™, SimBioSys’ powerful proprietary technology and service, can analyze vast fields of multi-modal data seamlessly, generating novel insights, including unique spatial biophysical insights in a 4-dimension space, for cancer drug…
CHICAGO–(BUSINESS WIRE)–SimBioSys®, a trailblazing TechBio company unlocking the power of spatial biophysics with artificial intelligence (AI) and biophysical modeling to redefine cancer precision medicine, transform patient care and defeat cancer…
-TumorSight™ is a cloud-based digital precision medicine platform intended to support the end-to-end patient journey -TumorSight™ Viz, the first FDA cleared TumorSight™ application, provides clinicians with key 3D spatial visualizations…
January 02, 2024 07:00 AM Eastern Standard Time CHICAGO–(BUSINESS WIRE)–SimBioSys, a TechBio company unlocking the power of spatial biophysics with artificial intelligence (AI) and biophysical modeling to redefine precision medicine…
December 18, 2023 07:00 AM Eastern Standard Time CHICAGO–(BUSINESS WIRE)–SimBioSys, a TechBio company unlocking the power of spatial biophysics with artificial intelligence (AI) and biophysical modeling to redefine precision medicine…
CHICAGO – JUNE 3, 2022 — SimBioSys, the technology company that predicts tumor responses to therapy, announced today it will showcase research at the American Society of Clinical Oncology (ASCO)…
The company’s first appearance at this prestigious cancer research conference profiles use cases of platform for cancer treatment planning and as a cancer research tool.
Genoa Ventures and Northpond Ventures co-lead investment in precision medicine platform that develops virtual tumors in 3D to predict response to therapy using standard-of-care data
SimBioSys is one of the 2022 best tech startups in Champaign! “The Tech Tribune staff has compiled the very best tech startups in Champaign, Illinois. In doing our research, we considered…
No two tumors are alike. What if we could model treatment planning for each individual patient? Meet TumorScope – the first of its kind 4D Tumor Modeling platform that combines…
Frederick Howard, MD, a medical oncology fellow in the Department of Medicine at the University of Chicago, discussed the clinical benefits of the SimBioSys TumorScope model for the treatment of…
Each week, staff writer Paul Wood interviews a high-tech difference-maker. This week, meet TUSHAR PANDEY, chief executive officer at SimBioSys Inc. in the University of Illinois Research Park. The company is…
The ESMO Breast Cancer 2022 took place in Berlin on May 3 – 5. A well-attended conference covering a broad range of breast cancer topics. Our team was there to…
The last decade in cancer care has been defined by the rapid emergence (and in some cases, dominance), of monoclonal antibody therapies, where they serve as a critical foundation of…
Our chief medical officer, Dr. Anuja Antony, represented SimBioSys at the ESMO 2022 conference last month. Among the many exciting advances and developments in the breast cancer field, two topics…
SimBioSys® is developing the TumorScope® platform to capture what is truly unique about each patient. The NVIDIA GPU-powered platform takes a holistic and multiscale approach to assess tumor response to…
Our team was present at the American Society of Clinical Oncology (ASCO) annual meeting that took place from June 3 – 7, 2022. Perhaps the most impactful moment for breast…
The ESMO Breast Cancer 2022 took place in Berlin on May 3 – 5. A well-attended conference covering a broad range of breast cancer topics. Our team was there to…
After two consecutive years of virtually holding the annual meeting of the American Association for Cancer Research (AACR), the conference returned to an in-person format, while retaining a hybrid option…
From December 7th -10th the San Antonio Breast Cancer Symposium gathered breast cancer experts from all over the world to share the latest medical and scientific advances in the breast…
Precision medicine has come a long way in terms of breast cancer treatment but more needs to be done for the non-responder patients, for those who need financial support, for…
Most of us have experienced the pain of a friend or family member’s cancer diagnosis and treatment in our lives. The process of diagnosis, treatment and monitoring — and the…
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