In early February, an Australian man in his 40s became the first person in the world to leave hospital with a virtually unbreakable heart made of metal.

‘Beating’ in his chest was a titanium pump about the size of a fist. For 105 days, the metal organ’s levitating propeller pushed blood to the man’s lungs and kept him alive as he went about his usual business.

On March 6, when a human donor heart became available, the man’s titanium heart was swapped out for the real thing. Doctors say without the metal stop-gap, the patient’s real heart would have failed before a donor became available.

Skin_diseases are a major global health concern, encompassing a wide range of conditions with varying severity. Prompt and precise diagnosis is critical for effective treatment. However, traditional methods often rely on dermatologists, creating disparities in access to care. This study creates and assesses a highly accurate Convolutional Neural Network (CNN) model that can use digital photos of skin lesions to diagnose a variety of skin conditions, and looks into how well various CNN architectures and pre-trained models may increase the precision and effectiveness of diagnosing skin conditions.

Abstract

Skin conditions are a worldwide health issue that requires prompt and accurate diagnosis in order to be effectively treated. This study presents a Convolutional Neural Network (CNN)-based automated skin disease diagnostic method. The work uses preprocessing methods like scaling, normalization, and augmentation to improve model robustness using the DermNet dataset, which consists of 19,500 pictures from 23 disease categories. TensorFlow and Keras were used to create a unique CNN architecture, which produced an impressive accuracy of 94.65%. Metrics like precision, recall, and F1-score were used to validate the model’s performance, showing that it outperformed more conventional machine learning techniques like SVM and KNN. The system incorporates patient-reported symptoms in addition to diagnosis to provide a comprehensive approach to health support, allowing for remote accessibility and tailored therapy suggestions. This work recognizes issues like dataset variability and processing needs while showcasing the revolutionary potential of AI in dermatology. In order to improve model interpretability and clinical integration, future possibilities include dataset extension, real-world validation, and the use of explainable AI.

Skin Disease Diagnosis, Dermatological Image Analysis, Medical Image Classification, Convolutional Neural Networks (CNNs), Healthcare Accessibility, Deep Learning Applications, DermNet Dataset

New research suggests more than half of global cropland areas could lose suitable crops under a warming scenario of 2C.

The study mapped how climate change could reshape areas suited for 30 major crops across four warming scenarios — from 1.5C to 4C.

Even at 1.5C, over half of the crops studied could see a decline in suitable cropland, with tropical regions hit hardest. In contrast, areas far from the equator could gain crop diversity — opening doors for climate adaptation.

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More than half of global cropland areas could see a decline in the number of suitable crops under a warming scenario of 2C, new research finds.

The study, published in Nature Food, projects how climate change will modify the areas suited for growing 30 major crops under four scenarios, ranging from 1.5 to 4C of global warming.

Scientists have recorded the first-ever brain scan of a dying human.

A man suddenly died during a routine brain scan, revealing intriguing insights into what happens in our final moments.

An 87-year-old man undergoing a routine EEG for epilepsy suffered a fatal heart attack. Researchers found that in the 30 seconds before and after his heart stopped, his brain waves resembled those seen during dreaming, memory recall, and meditation.

This suggests that the commonly reported phenomenon of “life flashing before your eyes” may have a neurological basis. However, since this is a single case study, more research is needed to confirm how common this experience may be.

The findings, published by Dr. Ajmal Zemmar and his team, showed a surge in gamma waves — high-frequency neural oscillations linked to memory and consciousness — just before and after death.

These waves are typically observed when people recall memories, adding weight to the idea that the brain may replay key life events in its final moments. While this discovery cannot fully explain the mysteries of death, it offers a fascinating glimpse into the brain’s last activity and opens the door for further research on human consciousness at the end of life.

Unidentified Flying Objects, or UFOs, have intrigued humans for decades. Now and then someone spots something strange in the sky and believes it to be extra-terrestrial. However, there is a kind of UFO that has only recently been seen in space. These are “UFO galaxies” that are a mystery to humans.

UFO galaxies are big, red and really dusty and can only be seen in infrared light, with NASA’s James Webb Space Telescope (JWST) first to spot them in deep space.

This is why they were only discovered recently. They appear similar in size and shape to other galaxies but have never been caught on other telescopes, such as the Hubble. Scientists wanted to figure out more about these galaxies and why they were so red and dusty.

Much like a tongue freezes to a frigid metal pole, ice can cause speed up the adsorption, or stickiness, of molecules. An icy surface can also cause molecules to degrade in the presence of light, releasing trace gases. Before researchers can measure these reactions and incorporate their impacts in global atmospheric models, researchers first need to understand the structure of ice itself.

InnovativeTsinghua researchers proposed a reconfigurable quantum entanglement distribution network using siliconphotonics, reducing the required wavelength channels to O(N) and improving the scalability, reconfigurability, and performance of quantum technology.

More: bit.ly/3W9PvNx

Meet the area of science that even Albert Einstein himself called “spooky”: quantum entanglement!

Classical physics is the force governing an extremely predictable world, where an apple set on a table stays there until something causes it to move again.

In the quantum world, not only can the apple end up on Mars, but, hypothetically, it could exist both on the table and on Mars at the same time. It could even be inextricably tied to another apple in some other part of the universe through entanglement. Thus, “reality” as we know it is much more uncertain, with the possibility for many solutions or outcomes to exist, rather than just one.

Quantum entanglement remains a spooky part of our world. Check out the resources below to learn more about how NASA scientists are working to unravel the mysteries of our quantum universe.

Transfer RNAs (called tRNAs for short) are small RNA molecules that play an important role in protein synthesis! Each tRNA corresponds to one of the 20 possible protein building blocks in humans called amino acids. As the ribosome reads each codon along an mRNA, the tRNA bring the correct amino acid, which is then added to the growing protein molecule!

Many types of RNA, including tRNAs, fold into specific shapes that help them function and keep them stable. Complementary sequences at different positions along the length of an RNA fold the molecule into loops and other complex structures.

TRNAs are folded into a distinct L-shape that helps them carry out their function. One end of the tRNA has a specific sequence to match a codon on the mRNA, while the other end of the tRNA has a site to carry the amino acid that will be added to the new protein.

Learn more in our RNA fact sheet!

Ribonucleic acid (RNA) is an essential molecule that performs many roles in the cell, from carrying the instructions to make proteins to regulating genes.

So far, 20 pipo don share ova $4m in rewards afta dem find $40m of di stolen money and call di crypto companies make dem block di transfer.

But sabi pipo no dey optimistic again say dem go fit recover di rest of di money becos of di North Korean knowledge for hacking and laundering of di money.

Dr Dorit Dor from cyber security company Check Point tok say, “North Korea na veri closed system and closed economy so dem don create successful industry of hacking and laundering and dem no care about di negative impression of cyber crime”