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Blog – Page 2720

The intricate interplay of gene expression within living cells is akin to a well-orchestrated symphony, with each gene playing its part in perfect harmony to ensure cells function as they should. At the heart of this symphony are transcription factors (TFs), molecular maestros that regulate the expression of genes by binding to specific DNA sequences known as promoters.

Unlocking the secrets of these genome-scale requires a comprehensive collection of gene expression profiles, but measuring gene expression responses for every TF and pair has posed a formidable challenge due to the sheer number of potential combinations, even in relatively simple organisms such as bacteria.

To tackle this challenge, researchers led by Fuzhong Zhang, professor of energy, environmental & chemical engineering in the McKelvey School of Engineering at Washington University in St. Louis, developed a technique called pooled promoter responses to TF perturbation sequencing (PPTP-seq).

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Fluorescence exclusively occurs from the lowest excited state of a given multiplicity according to Kasha’s rule. However, this rule is not obeyed by a handful of anti-Kasha fluorophores whose underlying mechanism is still understood merely on a phenomenological basis. This lack of understanding prevents the rational design and property-tuning of anti-Kasha fluorophores. Here, we propose a model explaining the photophysical properties of an archetypal anti-Kasha fluorophore, azulene, based on its ground-and excited-state (anti)aromaticity. We derived our model from a detailed analysis of the electronic structure of the ground singlet, first excited triplet, and quintet states and of the first and second excited singlet states using the perturbational molecular orbital theory and quantum-chemical aromaticity indices.

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Automation Anywhere, the leader in intelligent automation, announced a historic expansion of its Automation Success Platform, enabling enterprises to accelerate their transformation journeys and put AI to work securely throughout their organizations. Automation Anywhere’s new tools and enhancements deliver AI-powered automation across every team, system and process. During Imagine 2023, the company unveiled a new Responsible AI Layer, and announced four key product updates including the brand-new Autopilot, which enables the rapid development of end-to-end automations from Process Discovery, using the power of generative AI. The company also announced new, expanded features in Automation Co-Pilot for Business Users, Automation Co-Pilot for Automators, and Document Automation.

“The combination of generative AI and intelligent automation represents the most transformational technology shift of our generation,” said Mihir Shukla, CEO and Co-Founder, Automation Anywhere. “Every company, every team, every individual will be able to re-imagine their system of work and automate the processes that hold them back. Great people, empowered with AI and intelligent automation will be absolutely transformative to their organizations as they increase their productivity, creativity and accelerate the business.”

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Studying genes in families with a propensity for certain diseases has led to many critical advances in medicine, including the discovery of statins in family members who suffered heart attacks at an early age.

Now, a team of researchers at Case Western Reserve University has identified an in a gene linked to a highly lethal cancer called (EAC).

“With this discovery, we will be able to identify early those at a high risk of developing EAC in their lifetime, and accordingly tailor screening, lifestyle and treatment strategies to prevent cancer development,” said Kishore Guda, an associate professor at the Case Western Reserve School of Medicine and member of the Case Comprehensive Cancer Center.

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Abstract of full article w/ downloadable pdf:

Fluorescence-guided intervention can bolster standard therapies by detecting and treating microscopic tumors before lethal recurrence. Tremendous progress in photoimmunotherapy and nanotechnology has been made to treat metastasis. However, many are lost in translation due to heterogeneous treatment effects. Here, we integrate three technological advances in targeted photo-activable multi-agent liposome (TPMAL), fluorescence-guided intervention, and laser endoscopy (ML7710) to improve photoimmunotherapy. TPMAL consists of a nanoliposome chemotherapy labeled with fluorophores for tracking and photosensitizer immunoconjugates for photoimmunotherapy… More.

Fluorescence-guided photoimmunotherapy using nanotechnology and ML7710 reduces heterogeneous therapy effects and tumor metastasis.

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Google is introducing Bard, its artificially intelligent chatbot, to other members of its digital family—including Gmail, Maps and YouTube—as it seeks ward off competitive threats posed by similar technology run by Open AI and Microsoft.

Bard’s expanded capabilities announced Tuesday will be provided through an English-only extension that will enable users to allow the chatbot to mine embedded in their Gmail accounts as well as pull directions from Google Maps and find helpful videos on YouTube. The extension will also open a door for Bard to fetch travel information from Google Flights and extract information from documents stored on Google Drive.

Google is promising to protect users’ privacy by prohibiting human reviewers from seeing the potentially sensitive information that Bard gets from Gmail or Drive, while also promising that the data won’t used as part of the main way the Mountain View, California, company makes money—selling ads tailored to people’s interests.

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Aiming to be first in the world to have the most advanced forms of artificial intelligence while also maintaining control over more than a billion people, elite Chinese scientists and their government have turned to something new, and very old, for inspiration—the human brain.

Equipped with surveillance and visual processing capabilities modelled on human vision, the new “brain” will be more effective, less energy hungry, and will “improve governance,” its developers say. “We call it bionic retina computing,” Gao Wen, a leading artificial intelligence researcher, wrote in the paper “City Brain: Challenges and Solution.”

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Chemotherapy as a treatment for cancer is one of the major medical success stories of the 20th century, but it’s far from perfect. Anyone who has been through chemotherapy or who has had a friend or loved one go through it will be familiar with its many side effects: hair loss, nausea, weakened immune system, and even infertility and nerve damage.

This is because drugs are toxic. They’re meant to kill cancer cells by poisoning them, but since derive from healthy cells and are substantially similar to them, it is difficult to create a drug that kills them without also harming healthy tissue.

But now a pair of Caltech research teams have created an entirely new kind of drug delivery system, one that they say may finally give doctors the ability to treat cancer in a more targeted way. The system employs drugs that are activated by —and only right where they are needed in the body.

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