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Build up your lab<\/b>https:\/\/audioboom.com\/posts\/7841207-build-up-your-lab<\/a>Building up your own research laboratory is a very complex and hard process, which takes years... Don't miss STEMM Lab Weekly Series: Build Up Your Lab <\/a>Professors from around the world will share their experience and tips on how to make this process less stressful, enjoyable and highly rewarding Join STEMM Global Scientific Community<\/a> and subscribe STEMM Global Audio Learning Podcast<\/a>#podcast<\/a> #Build_Up_Your_Lab<\/a><\/div>\n \n <\/i>\n Audioboom<\/div>\n \n
Build up your lab<\/div>\n
An Audioboom post by STEMM Global Audio Learning<\/div>\n<\/a>\n
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AI fighting breast cancer.According to the WHO, breast cancer has recently overtaken lung cancer to become the most common cancer globally. The BreastPathQ Challenge was launched at the SPIE Medical Imaging 2019 conference to support the development of computer-aided diagnosis for assessing breast cancer pathology. 39 teams from 12 countries participated, with 100 new algorithms developed.The exciting results and ideas produced by the challenge have recently been reported in the Journal of Medical Imaging: https:\/\/www.spiedigitallibrary.org\/journals\/journal-of-medical-imaging\/volume-8\/issue-03\/034501\/SPIE-AAPM-NCI-BreastPathQ-challenge--an-image-analysis-challenge\/10.1117\/1.JMI.8.3.034501.full?SSO=1<\/a>#sciencenews<\/a> #AI<\/a> #ML<\/a> #healthcare<\/a> #medicine<\/a><\/div>\n \n \n
www.spiedigitallibrary.org<\/div>\n \n
SPIE-AAPM-NCI BreastPathQ Challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer\u2026<\/div>\n
The <i>Journal of Medical Imaging<\/i> allows for the peer-reviewed communication and archiving of fundamental and translational research, as well as applications, focused on medical imaging, a field that continues to benefit from technological improvements\u2026<\/div>\n<\/a>\n
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Volcanoes on Mars could be active.Evidence of recent volcanic activity on Mars shows that eruptions could have taken place in the past 50,000 years, according researchers at the University of Arizona's Lunar and Planetary Laboratory. This geologically recent activity suggests that eruptions could still take place in the future.The evidence has been published in the journal Icarus: https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0019103521001779<\/a>#sciencenews<\/a> #astronomy<\/a><\/div>\n\n
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60 years ago, United States of America announced the Apollo program that successfully brought humankind to the Moon!Hurray to Science!For thousands of years Moon was studied and admired by our ancestors, eventually because of its proximity to Earth, so one can spot it with a bare eye. But in the 60s of 20th century the tremendous scientific work made it possible for humans to walk on the surface of Moon!What are your thoughts about Moon and the ways we need further explore it?#sciencenews<\/a> #astronomy<\/a><\/div><\/div>\n\n
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How do you start a business as an academic?Could your research change the world? To have a real impact, it\u2019s often necessary to take your innovation from the lab to the market. However, scientists aren\u2019t trained for business. What does it take to turn your research ideas, concepts, and prototypes into real-world products?We chat with Professor Andrey Somov (Skoltech) about his recent start-up experience with Head Kraken<\/a>Learn about navigating the challenges of start-up funding, pitching to investors, intellectual property, and work-life balance as a Scientific Entrepeneur<\/a>. Subscribe STEMM Global Audio Learning Podcast<\/a> and join the STEMM Global Scientific Community<\/a>#podcast<\/a> #business<\/a> #entrepreneurship<\/a> #startup<\/a><\/div>\n \n <\/i>\n Audioboom<\/div>\n \n
How do you start a business as an academic?<\/div>\n
An Audioboom post by STEMM Global Audio Learning<\/div>\n<\/a>\n
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Deep Neural Networks in medical imaging.Scientists at the University of California are investigating how neural networks can be used to efficiently and accurately analyse associations between gene expression and features of biological tissues. They consider how the neural networks could lead to improvements in lung cancer diagnosis. The results are published in the Journal of Medical Imaging: https:\/\/www.spiedigitallibrary.org\/journals\/journal-of-medical-imaging\/volume-8\/issue-03\/031906\/Using-deep-neural-networks-and-interpretability-methods-to-identify-gene\/10.1117\/1.JMI.8.3.031906.full<\/a>#sciencenews<\/a> #AI<\/a> #ML<\/a> #healthcare<\/a> #medicine<\/a><\/div>\n \n \n
www.spiedigitallibrary.org<\/div>\n \n
Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and\u2026<\/div>\n
The <i>Journal of Medical Imaging<\/i> allows for the peer-reviewed communication and archiving of fundamental and translational research, as well as applications, focused on medical imaging, a field that continues to benefit from technological improvements\u2026<\/div>\n<\/a>\n
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Light meets superconductivity. Researchers at Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne have developed a novel approach using light to read data from low temperature superconducting devices. Using light avoids the problems caused by heat transfer through conventional cables.The work is published in the journal Nature Electronics: https:\/\/www.nature.com\/articles\/s41928-021-00570-4<\/a> #sciencenews<\/a> #supercondactivity<\/a> #light<\/a> #physics<\/a><\/div>\n \n \n
Nature<\/div>\n <\/i>\n A cryogenic electro-optic interconnect for superconducting devices<\/div>\n
Nature Electronics - A commercial titanium-doped lithium niobate phase modulator can be employed at temperatures as low as 800 mK for the electro-optical readout of a superconducting...<\/div>\n<\/a>\n
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[ Album ]\ud83c\udf93<\/b><\/i> In Quantum Mechanics an orbital is a mathematical function which portrays the wave-like behavior of an electron pair, electron or nucleons.Atomic orbitals are the 3D regions of space around the nucleus of an atom. Atomic orbitals allow the atoms to make covalent bonds. s, p, d and f orbitals are the most commonly filled orbitals. These orbitals have a variety of shapes. As defined by the Pauli Exclusion Principle, only two electrons can be found in any orbital space.But there are also nodes. Node is a region where the probability of finding the electron will be zero. The nodal plane is the plane that passes through the nucleus on which the probability of finding an electron is zero.#science<\/a> #quantum<\/a><\/div><\/div>\n\n
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3D printed diagnostic tools.Lateral flow testing is widely used for pregnancy tests and more recently for mass coronavirus testing. A team working at KU Leuven has developed a new 3D printing technique using porous polymers to produce advanced diagnostic tests quickly, cheaply, and easily.The method can be seen in action at: https:\/\/www.youtube.com\/watch?v=qRVa7X_LnV4<\/a>#sciencenews<\/a> #healthcare<\/a> #medicine<\/a> #polymers<\/a><\/div>\n \n <\/i>\n YouTube<\/div>\n \n
3D printing technique for lateral flow diagnostics<\/div>\n
A 3D printing technique developed at the Ameloot Group (KU Leuven) promises to bring the kind of rapid diagnosis seen with lateral flow tests for Covid-19 to other medical conditions. The goal is to produce a wide range of sophisticated diagnostic tests that\u2026<\/div>\n<\/a>\n
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Terahertz spectroscopy of quantum wells.A collaboration between physicists in Japan and Germany applied terahertz emission spectroscopy to understand the 3D dynamics in quantum wells. Their non-contact, non-destructive method can be applied to assessing the ultrafast carrier dynamics, strain physics, phonon dynamics, and ultrafast dielectric responses at the local level in new materials.Their work can be found in Advanced Optical Materials: https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/adom.202100258<\/a> #sciencenews<\/a> #THz<\/a> #spectroscopy<\/a> #SmartMaterials<\/a><\/div>\n \n <\/i>\n Wiley Online Library<\/div>\n \n
Ultrafast Terahertz Nanoseismology of GaInN\/GaN Multiple Quantum Wells<\/div>\n
Ultrafast terahertz (THz) emission from laser-excited Ga0.8In0.2N\/GaN multiple quantum wells (MQWs) consists of three distinct, differently timed signals. They originate from i) laser-induced dynamic...<\/div>\n<\/a>\n
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