Building A Heart From Scratch

| February 7, 2017

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Here at BioBots, we’re always keeping an eye out for research being done in tissue engineering and stem cell biology. Together, these disciplines form the backbone of regenerative medicine.

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Genetic Support Foundation

To improve the quality of healthcare by providing up-to-date, objective genetic information to patients, providers, and healthcare organizations, supporting those in need of genetic services, and facilitating the adoption of best genetic practices.

OTHER ARTICLES

Learning How FoxA2 Helps Turn Stem Cells into Organs

Article | March 18, 2020

Scientists at the Perelman School of Medicine at the University of Pennsylvania discovered early on in each cell, FoxA2 simultaneously binds to both the chromosomal proteins and the DNA, opening the flood gates for gene activation. The discovery, “Gene network transitions in embryos depend upon interactions between a pioneer transcription factor and core histones,” published in Nature Genetics, helps untangle mysteries of how embryonic stem cells develop into organs, according to the researchers. “Gene network transitions in embryos and other fate-changing contexts involve combinations of transcription factors. A subset of fate-changing transcription factors act as pioneers; they scan and target nucleosomal DNA and initiate cooperative events that can open the local chromatin. However, a gap has remained in understanding how molecular interactions with the nucleosome contribute to the chromatin-opening phenomenon,” write the investigators.

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Pfizer, BioNTech Plan Clinical Trial for COVID-19 mRNA Vaccine Candidate

Article | April 9, 2020

Pfizer and BioNTech plan to begin human clinical trials on their lead COVID-19 therapeutic candidate, an mRNA vaccine, by the end of this month, the companies said today, through a collaboration that could generate up to $748 million for the German biotech. The companies announced plans last month to partner on BNT162, the first treatment to emerge from BioNTech’s accelerated COVID-19-focused development program, “Project Lightspeed.” BioNTech and Pfizer established collaboration intended to draw upon BioNTech’s proprietary mRNA vaccine platforms, and Pfizer’s expertise in vaccine research and development, regulatory capabilities, and global manufacturing and distribution network.

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Top 10 biotech IPOs in 2019

Article | February 24, 2020

The big question at the start of 2019 was whether the IPO window would stay open for biotech companies, particularly those seeking to pull off ever-larger IPOs at increasingly earlier stages of development. The short answer is yes—kind of. Here’s the long answer: In the words of Renaissance Capital, the IPO market had “a mostly good year.” The total number of deals fell to 159 from 192 the year before, but technology and healthcare companies were standout performers. The latter—which include biotech, medtech and diagnostics companies—led the pack, making up 43% of all IPOs in 2019. By Renaissance’s count, seven companies went public at valuations exceeding $1 billion, up from five the year before

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AI and Biotechnology: The Future of Healthcare Industry

Article | January 20, 2021

Artificial intelligence has grasped the foundation in biotech. It can have the most innovative impact on biotechnology. AI has already established its presence in our day-to-day life. AI has made the existence of self-driving cars possible. Likewise, the benefits and quality that it can contribute to biotech can also be felt. With AI, bio technicians will be able to enhance virtual screening, overlook preliminary datasets from clinics, and decipher an enormous amount of information. It can also help in improving the medication process by gathering and analyzing every bit of information. The Significance of AI in Biotechnology In the past few years, the application of artificial intelligence in the biotechnology industry has shifted from being sci-fi to sci-fact. A vast number of biotech companies like Deep Genomics are adopting AI for making data-driven decisions and use analytics tools to work efficiently. Unlike the AI robots in sci-fi that are ready to take over the world. AI designed for biotech has been designed to solve certain problems or complete a bunch of tasks by using automated algorithms. The aim of AI technology for biotech is to collect insights along with hidden patterns from large amounts of data. All the different industries of biotech including agriculture, animal, medical, industrial, and bioinformatics are gradually being affected by artificial intelligence. Moreover, the biotech industry is realizing that AI enables them some of the important strength to their business, including: Expanding accessibility Cost-effectiveness Critical predictions Efficient decision-making Research centers like PwC have also estimated output of $15.7 trillion by 2030 solely with AI contribution in industries. A survey revealed that about 44% of life science experts are using AI for R&D activities, as well. Use of AI in Biotechnology Altering Biomedical and Clinical Data So far the most developed use of AI is its ability to read voluminous data records and interpret them. It can prove to be a life-save for bio technicians who would have to examine that much data from research publications by themselves for the validation of their hypothesis. With the help of AI, clinical studies of patients will also become easier as all the examination reports and prescriptions will be stored in one place for cross-reference. Furthermore, it will also help in blending and fetching data into usable formats for analysis. Test Result Prediction Through trial and error, AI along with machine learning can help in predicting the response of the patient to certain drugs to provide more effective outcomes. Drug Design & Discovery AI plays a vital role whether it’s designing a new molecule or identifying new biological targets. It helps in identifying and validating drugs. It reduces the cost and time spent on the entire drug trial process and reaches the market. Personalized Medications for Rare Diseases With the combination of body scan results, patients’ body and analytics, AI can also help in detecting dangerous diseases at an early stage. Improving Process of Manufacturing To improve the process of manufacturing in biotechnology, AI offers a wide range of opportunities. It controls quality, reduces wastage, improves useability, and minimizes the designing time. Moving Towards AI-Enhanced Biotech Future Ever since the concept of artificial intelligence has arrived, being curious by nature, humans have started working towards achieving this goal. It has been growing at a fast pace while showing unbelievable growth and achievements at times. In comparison to the traditional methods used in the biotechnology industry, AI-based methods seem more reliable and accurate. In the upcoming years, it will show its success by improving the quality of health people have. You can also develop your AI-based application or know more about it by taking IT consultations.

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Genetic Support Foundation

To improve the quality of healthcare by providing up-to-date, objective genetic information to patients, providers, and healthcare organizations, supporting those in need of genetic services, and facilitating the adoption of best genetic practices.

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