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Showing posts from October, 2023

Needle, needle, go away, it's my voice that will find the way

A momentous revelation unfolded in the distant echoes of 1552 B.C., casting a light on the enigma that would later be named diabetes. Hesy-Ra, an Egyptian physician and an astute observer of the human condition, etched history's first known account of diabetes symptoms. In the papyrus scrolls of time, he chronicled frequent urination as a symptom of a mysterious disease that also caused emaciation. Intriguingly, the ancients of that age also witnessed a curious phenomenon. They noted with fascination that the ants were drawn to the very essence of this enigmatic ailment – the urine of those afflicted by it. Thus, the symphony of nature's elements was orchestrating an age-old ballet, and ants were the first humble spectators drawn to a substance that held secrets beyond their ken.  Centuries drifted by, and like the vigilant ants drawn to secrets held in the urine, a new cast of spectators took the stage. These unique individuals, dubbed "water tasters," embarked on an...

Why will the boon of Artificial Intelligence endure in Pharma/Biotech industry?

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Let's go back to our days of algebra and consider there was a person named X.  X was 82 years older and was suffering from an aggressive form of blood cancer. He already had to go through six courses of chemotherapy, but the wait to be cured was still a far cry. His saviors, the doctors, whom, in his poem, D. H. Lawrence has ornamented as “ the ones who work with science and arts, and knows the secrets of the mill”, were systematically evaluating a roster of conventional cancer medications. Their aim was to discover an effective solution, methodically eliminating options one by one." Needless to say, the drugs were doing everything but cure X. The hopes were dying, and they were taking X with them, slowly, on a bed adorned with the persistent presence of suffering. But then the doctors, knowing that there was nothing to lose, decided to embrace a boon that, until then, had remained just an elusive dream, hovering ever closer to the realm of reality: the boon of Artificial inte...

Have we found a solution to cure pancreatic cancer, one of our most formidable foes?

P ancreatic malignancies exhibit a multifaceted microenvironment, governing metabolic shifts and fostering a dynamic interplay among diverse cell populations residing in this specialised area. Despite the decade-long endeavours to predominantly elucidate the most lethal pancreatic malignancy, Pancreatic ductal adenocarcinoma (PDAC) continues to stand as one of the most lethal forms of cancer. Adding more concerns, it has been hypothesised that PDAC will overtake colorectal cancer before 2040, moving only behind lung cancer as a leading cause of cancer-related mortality. With almost 97% of oncology trials failing to reach the clinical stage, the dreadful question arises, “Was a solution ever there?”. Cut back through the decades, a hope amidst all odds can be seen, where the culprit cells driving the spread of pancreatic cancer have been identified. Maybe it could be premature enthusiasm to say that we have now found the weakness to target, but a hope is always a hope, and we can be che...

Computational annotation of protein function: what is recently happening?

Proteins constitute the primary foundation of life, serving as pivotal components in the execution of vital life functions. Therefore, the essential task of functionally annotating proteins is paramount for comprehending life processes at the molecular level. For this purpose, various computational methods based on machine learning and deep learning, such as biological sequence analysis, protein structure prediction, and medical image processing, have been published. Typically, machine learning methods amalgamate features extracted from diverse data sources to assess the similarity between proteins and functional terms, leading to the annotation of similar functions for proteins exhibiting this likeness. Models based on deep learning typically emphasize extracting protein sequence features using convolutional neural networks and recurrent neural networks. They subsequently incorporate sequence similarity, protein-protein interaction (PPI) network data, and other information to enhance ...

Connected Papers: Navigating the Web of Scientific Knowledge

 In the ever-expanding realm of scientific research, staying updated with the latest developments and understanding the interconnectedness of various studies is a formidable challenge. This is where "Connected Papers" steps in as a valuable tool for researchers and academics. This blog will delve into the functionalities and usefulness of Connected Papers in the world of scientific exploration. The Power of Visualizing Connections Connected Papers isn't just another academic search engine; it's a bridge between the isolated islands of scientific knowledge. It harnesses the power of visualization to present academic papers in an interconnected web, allowing researchers to see at a glance how different studies relate to one another. By simply entering the title of a paper, users are presented with a network of related research. This visualization provides a holistic view of a particular field of study, making it easier to spot trends and gaps in the research landscape. ...