SimPulse Insight
Hello and Welcome to the latest edition of our newsletter! In this issue, we bring some exciting updates in the industry, product releases, upcoming events and a small blog on Simulation and Cancer Treatment, all this designed to keep you at the forefront of industry trends. Thank you for being part of our community…let's explore what's new together!
TSMC and Ansys collaborate to enable faster, lower power semiconductor designs: Ansys recently announced that TSMC (Taiwan Semiconductor Manufacturing Company) has certified the Ansys platforms to ensure that they work seamlessly with the N2 process technology. "Ansys RaptorX? has also received certification for TSMC’s N5 technology, which aims to play a critical role in modeling on-chip electromagnetic integrity across various applications:
Additionally, Ansys has also collaborated with TSMC to develop an AI-enabled analysis optimization flow. This collaboration involves Ansys optiSLang? and Ansys multiphysics solutions, including RaptorX, RedHawk-SC, and RedHawk-SC Electrothermal."
To conclude, Ansys platforms are officially approved for use in designing chips based on TSMC’s N2 nanosheet process. This collaboration is expected to enhance the efficiency and accuracy of chip development.
JLR and Dassault Systèmes extend Partnership: Dassault Systèmes has extended its strategic partnership with JLR (Jaguar Land Rover) for the next five years. JLR will continue to deploy Dassault Systèmes’ 3DEXPERIENCE platform globally which supports the end-to-end development of all its luxury vehicles. Users across JLR and its suppliers are expected to use the virtual twin to ensure increased efficiency, improved productivity and reducing time, wastage and cost.
Coreform LLC wins Department of Energy grant to improve tire tread simulation: Coreform LLC a company based in Orem, Utah, developer of commercial spline-based simulation software has recently been awarded a funding by the Department of Energy (DoE) to explore using isogeometric analysis on next-generation tire tread designs. This grant emphasizes the importance of innovative computational methods in addressing critical industrial challenges.
By using advanced simulation techniques, the company aims to improve tire design processes, leading to safer, more efficient, and environmentally friendly vehicles. This project demonstrates the critical intersection of innovation, industry needs, and sustainability in modern engineering.
Siemens delivers cloud-based 3D CAD and engineering with NX X: "Siemens Digital Industries Software has introduced NX? X software, a cloud-based solution for product engineering. This technology is now accessible to all types of companies irrespective of their size. Part of the Siemens Xcelerator as a Service cloud-based portfolio of industry software,
Key Features: NX X aims to ?
CONVERGE 4: CONVERGE 4 is the latest version of Converge CFD Software. Version 4 includes new solver options that are expected to increase simulation speed and accuracy, a host of new modeling capabilities, and a variety of new tools that expand the software’s functionality and improve user experience
Key features of CONVERGE 4
Powering Progress: Leveraging Simulation for EV Battery Design, Production, and Integration: This webinar to be conducted by Ansys will demonstrate how multiphysics simulation and model-based methodologies enable cell suppliers, OEMs, and system integrators to address the most critical stages of battery development
Date & Time: May 30, 2024, 11 am Eastern
ColdStream Nxt for Powertrains: Diabatix NV is a Belgian software company which provides support to companies to overcome their thermal engineering challenges. In 2021, Diabatix launched ColdStream, which consolidates all the improvements in thermal design into an easy-to-use in-browser platform.
This webinar will enable the user to understand the applications of ColdStream’s generative design capabilities to enhance thermal management in electric motors.
Date & Time: May 30, 2024, 13:30 IST and 21:30 IST
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Technology Focus: Simulation and Cancer Treatment
Cancer still remains a dreaded disease and is still considered uncurable and life-threatening. The diagnosis of cancer often brings with it a sense of fear and uncertainty, impacting not only the patients but also their families, disrupting lives emotionally, physically and financially.
The technological advancements and innovations have helped develop effective treatments and drugs which can reduce the impact if diagnosed and treated at an early stage.
Early Detection: Simulation tools play an important role in the early detection of cancer and the effective use of therapeutic strategies. By using advanced computational models and artificial intelligence, these tools can improve the accuracy and efficiency of cancer diagnosis and treatment planning, ultimately improving patient outcomes. Early detection is also very important as it allows less aggressive treatment and better overall survival rates. Some of the innovative approaches are:
Digital Pathology: Simulation tools combined with machine learning algorithms analyze digital images of tissue samples, identifying patterns that might be indicative of cancer at a very early stage. This can lead to more accurate and faster diagnoses compared to traditional pathology methods.
Radiomics: Radiomics is an emerging field in science, studies the numerical properties of images and extracts large amounts of data obtained from CT, MRI, PET scans. Simulation tools process this data to detect subtle changes and patterns associated with early cancer development that may not be visible to the human eye.
Risk Assessment Models: Simulation tools use patient data, including genetics, lifestyle features, and family history, to build predictive models that assess an individual's risk of developing cancer. These models can guide screening recommendations and early medication strategies.
Biomarker Analysis: Early detection of biomarkers in blood, urine or tissue samples that indicate presence of cancer can lead to faster diagnosis and treatment. This can be accomplished by simulating biological processes and interactions.
Enhancing Cancer Therapy: Simulation tools are also used in refining and personalizing cancer treatment plans, improving their effectiveness and minimizing adverse effects:
Radiation Therapy: Simulation software allows for the creation of highly detailed and precise radiation therapy plans. By modeling the tumor's shape, size, and location, and considering surrounding healthy tissues, these tools optimize radiation doses to maximize tumor destruction while ensuring minimum harm to healthy tissues.
Chemotherapy and Targeted Therapy: Simulation models predict how different drugs will interact with a patient’s specific cancer type and genetic profile. This helps in selecting the most effective drug combinations and dosages, reducing trial-and-error in treatment.
Real-Time Adjustments: New age tools use continuous imaging and AI to adapt treatment plans based on changes in the tumor’s size, shape, or position. This ensures that therapy remains effective even as the tumor responds to treatment.
Response Prediction: Simulation tools predict how a patient’s cancer will respond to a particular treatment programme, allowing doctors to adjust the therapy proactively.
In Silico Trials: Simulation tools create virtual patients to test new drugs and therapies. They can help improve and shorten conventional in-person trials, by testing hypotheses and answering key trial design questions prior to actual patient recruitment. ?These trials can predict potential outcomes, side effects, and interactions, speeding up the drug development process and reducing costs.
Mechanistic Models: These models simulate the biological mechanisms of cancer and drug actions at the molecular level. Understanding these interactions helps in designing more effective and targeted therapies.
Simulation tools are transforming both the early detection of cancer and the optimization of therapeutic strategies. By presenting detailed insights into progression of the disease and response to the treatment, these technologies enable more accurate, personalized, and effective cancer care. As these tools advance, they promise to significantly improve outcomes for cancer patients by enabling earlier diagnosis and more precise treatment planning. The continued efforts of leading companies and research institutions in developing and implementing these tools are crucial in the fight against cancer.