Cell-Based Analyses for Neuroscience Research

| September 19, 2018

article image
Cell-based assays are prevalent within neuroscience. Some typical applications include investigations into the underlying mechanisms of neuronal signaling and neurodegeneration. However, subtle, progressive cellular changes are difficult to capture using traditional technologies. Techniques that facilitate consistent monitoring of cell biology in vitro over time are therefore necessary to characterize these dynamic processes.

Spotlight

BioFlorida, Inc

BioFlorida is the voice of Florida’s life sciences industry, representing nearly 6,000 establishments and research organizations in the biopharmaceutical, medical technology and bioagriculture sectors that collectively employ nearly 83,000 Floridians (Source: The Value of Bioscience Innovation in Growing Jobs and Improving Quality of Life, TEConomy/BIO, 2016).

OTHER ARTICLES

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.

Read More

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

Read More

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.

Read More

Selexis Cell Line Development Strategies

Article | February 11, 2020

In today’s biotechnology landscape, to be competitive, meet regulations, and achieve market demands, “we must apply Bioprocessing 4.0,” said Igor Fisch, PhD, CEO, Selexis. In fact, in the last decade, “Selexis has evolved from cloning by limiting dilution to automated cell selection to nanofluidic chips and from monoclonality assessment by statistical calculation to proprietary bioinformatic analysis,” he added. Single-use processing systems are an expanding part of the biomanufacturing world; as such, they are a major component of Bioprocessing 4.0. “At Selexis, we use single use throughout our cell line development workflow. Currently, we have incorporated single-use automated bioprocessing systems such as ambr® and the Beacon® optofluidic platform for accelerated cell line development. By using these systems and optimizing our parameters, we were able to achieve high titers in shake flasks. Additionally, the Beacon systems integrate miniaturized cell culture with high-throughput liquid handling automation and cell imaging. This allows us to control, adjust, and monitor programs at the same time,” noted Fisch.

Read More

Spotlight

BioFlorida, Inc

BioFlorida is the voice of Florida’s life sciences industry, representing nearly 6,000 establishments and research organizations in the biopharmaceutical, medical technology and bioagriculture sectors that collectively employ nearly 83,000 Floridians (Source: The Value of Bioscience Innovation in Growing Jobs and Improving Quality of Life, TEConomy/BIO, 2016).

Events