Breakthrough in early detection of cholangiocarcinoma using ai-powered spectroscopy.

In a major advancement for cholangiocarcinoma (CCA) detection, researchers have developed a cutting-edge AI-driven diagnostic method that could revolutionize early cancer screening. Utilizing Surface-Enhanced Raman Spectroscopy (SERS), a powerful non-invasive technique, the team introduced a novel approach combining Discrete Wavelet Transform (DWT) with a one-dimensional Convolutional Neural Network (1D CNN) to distinguish early-stage CCA from precancerous, inflammatory, and healthy conditions.

Unlike traditional Principal Component Analysis (PCA) with Support Vector Machine (SVM), which struggles with nonlinear SERS data and only differentiates late-stage CCA, the new AI-enhanced method provides greater accuracy in detecting early-stage cancer, a crucial factor in improving survival rates. Receiver Operating Characteristic (ROC) curve analysis confirmed its superior performance.

The study, conducted on hamster serum, opens the door for future applications in human diagnostics, potentially transforming cancer detection and treatment. This breakthrough underscores the potential of AI and advanced signal processing in enhancing precision medicine and saving lives through early intervention.

This Early detection of cholangiocarcinoma (CCA) is critical for improving patient prognosis and survival rates. Surface-Enhanced Raman Spectroscopy (SERS) offers a promising non-invasive diagnostic tool due to its high sensitivity and specificity. In this study, we propose a novel approach combining Discrete Wavelet Transform (DWT) and a onedimensional Convolutional Neural Network (1D CNN) for the detection and differentiation of first stage CCA from precancerous, inflammation, and healthy states using SERS data. Our method is compared with a traditional Principal Component Analysis (PCA) followed by Support Vector Machine (SVM) classification. In contrast, the PCA + SVM method could only differentiate late-stage CCA and healthy states due to the nonlinearity of the SERS dataset. Receiver Operating Characteristic (ROC) curve analysis further validates the superior performance of our proposed method. We studied on hamster serum and the concept can be extended to human serum in the near future work.

According to my recursive universe theory, we need Primordial Consciousness to explain the beginning of the first Universe. Please take a look at this YouTube video clip!

Consciousness is one of those topics that makes everyone uncomfortable—scientists, philosophers, and just about anyone who dares to question the nature of reality. Why? Because, despite all our technological advancements and scientific breakthroughs, we still don’t have a clear idea of what consciousness actually is or where it comes from. It’s the elephant in the room, the mystery that science can’t seem to crack. We can map the brain and understand its functions, but that still doesn’t explain why we experience thoughts, feelings, or self-awareness.

Some argue that consciousness is nothing more than the byproduct of biological processes, a lucky accident of evolution. But what if that’s not the whole story? What if consciousness isn’t a mere side effect of neurons firing but something far more fundamental—something that’s intertwined with the fabric of the universe itself?

DNA that can repair DNA similar to Digital Error Correction!

This could make human live longer!

Before the researchers sequenced the Greenland shark’s genome, only about 10 genomes were available for all elasmobranchs — a subclass of fish including sharks, rays and skates — said Dr. Nicole Phillips, an associate professor of ecology and organismal biology at the University of Southern Mississippi in Hattiesburg. Phillips was not involved in the research conducted by Hoffman, Sahm and their team.

“The more high-quality genomes that are sequenced, the better we can understand the genetic underpinnings of shared as well as unique traits of this ancient group,” Phillips said in an email. “Identification of the genetic basis of lifespans across different species, including long-lived sharks, allows researchers to understand the biology of aging and longevity.”

Because of the sharks’ preference for deep waters, historically most information on the Greenland shark came from commercial fishing records. In the past decade, researchers have increasingly used video, including remotely operated vehicles and baited cameras, as well as observations in captured specimens to research the elusive shark.

The universe expands beyond all bounds, Black holes gain mass, where wonders surround. Curvature shifts like moonlight’s gleam, Adding new mass, no matter redeemed.

A new year dawns with lessons to share, Physics reveals a truth so rare. The cosmos vast, profound, and wide, Marks 2025 with knowledge as our guide.

The first endeavor of this brand-new year, Explains black hole growth without drawing near. Expanding space, a force untamed, Curvature energy, its role proclaimed.

Based on observed and verified research: arxiv.org/abs/2302.

Through our novel gravitational field theory: dx.doi.org/10.1016/j.astropartphys.2024.

Details await within the links above, Happy New Year 2025 to all with love! http://dx.doi.org/10.13140/RG.2.2.18170.