Chemometrics and How to Use It?

Introduction “Chemometrics” is a combination of two words “chemo” and “metrics” which signifies the application of computational tools to Chemical Sciences. Coined by a Swedish Scientist, Svante Wold, in 1972. Later in 1974, Svante Wold and Bruce Kowalski founded the International Chemometrics Society (ICS). ICS describes chemometrics as the chemical discipline that uses mathematical and […]

ISPE Pharma 4.0

Pharma 4.0: ISPE’s Vision for Operating Model

Introduction ISPE stands for International Society for Pharmaceutical Engineering, founded by a group of experts to discuss new challenges faced in pharmaceutical manufacturing. ISPE is a non-profit organization that provides technical and non-technical leadership for managing the life cycle of pharmaceutical products. In 2017, SIG (Special Information Group) was appointed to create a roadmap to […]

Demystifying Data Science Terms

Data Science: Demystifying the Terminologies

Data Science related terminologies are buzzing around the internet. It marks the onset of the Industry 4.0 revolution. Data Science is a discipline that studies big data, uses modern tools and techniques for data mining and data analysis to find its applications across a wide variety of domains. For example, Google AI retinal scan collected retinal images from thousands of patients across South India. Finally, it analyzed the data to get information about the patients’ disposition to cardiovascular diseases in the next five years.

Predictive Analytics in Cancer Diagnosis

Predictive Analytics in Cancer Diagnosis

The alarming and constantly rising cancer cases have refocused the attention of medical scientists on the early screening and diagnosis of cancers. The cancer mortality and morbidity can be reduced by early detection. Read this post to understand how Predictive Analytics empowered by AI/ML is playing an important role in cancer diagnosis.

Predictive Data Science in Food and Beverages

Predictive Data Science in Food and Beverages

Since the consumer is the key, organizations need to make decisions revolving around the consumers’ tastes. Data science enables businesses to derive conclusions about which option will be best suited for the consumers. It allows organizations to collect and analyse data and derive at interesting patterns and trends over a period of time.


AlphaFold – AI breakthrough unfolding a new path for Protein Research

Recently, on the 30th of November, 2020, a new milestone in Protein Research was achieved when the results of the 14th biennial Critical Assessment of Protein Structure Prediction (CASP) challenge were announced. AlphaFold – a program developed by DeepMind, an Artificial Intelligence research lab affiliated with Google and its parent company was successful in predicting protein structure from its amino acid sequence comparable with the experimental results with a GDT score of 92.4.

Data Science

Data Science in Healthcare Industry

Medicine and healthcare are two of the most important components of our lives. Traditionally, medicine and medical advice was given solely by the doctors based on the patient’s symptoms. However, this was not always accurate and was prone to errors. With the advancements in the field of data science, it is now possible to obtain a more accurate diagnosis. The AI is being used not only as a tool for diagnosis but also for break through discoveries. In a latest advancement Google has achieved a huge success in unfolding protein structures. The very core of the problem that many biologist were trying to solve from many decades!

Data Science Journey

Data Science Journey: Guidance for the New Bee

Are you dealing with large sets of data that do not make real sense to the human eye?
Are you currently using some tools to sort and analyze your data but still struggling and thus looking for a viable alternative?
Have you been told that the buzzwords of machine learning, artificial intelligence or the Internet of Things could solve a problem that you are faced with today?
Are you very much fascinated by this new avenue seen all over the internet, but taking the first steps seem too daunting to make any real progress?
Do you believe that, trust is good but evidence is better?