Breast cancer is the most frequent cancer in women worldwide and is also the leading cause of cancer death among women, with approximately 500,000 annual deaths. Although imaging technology and mammographic interpretation have improved over time, mammography is not perfect and will not benefit all women equally. Mammography is less sensitive in women with dense breast tissue than those with non-dense tissue. There are false-positive (possible abnormalities that turn out not to be cancer or not even an abnormality) and false-negative (cancers that are present but go undetected on mammography) findings. Using AI, predict whether the cancer is malignant or benign through features that are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass

Depression is one of the major cause of psychological illness. Personality tests can be helpful in determining characteristics and traits about a person to better understand them. When one has insight into the personality of others with whom they are communicating, better discussions can ensue as well as long-lasting relationships. If we can understand how one perceives and acts based on his or her personality, we can then facilitate a better treatment plan as well. The Myers Briggs Type Indicator (or MBTI for short) is a personality type system that divides everyone into 16 distinct personality types across 4 axis:
a. Introversion (I) – Extroversion (E)
b. Intuition (N) – Sensing (S)
c. Thinking (T) – Feeling (F)
d. Judging (J) – Perceiving (P)

Created an AI application produce a machine learning algorithm that can attempt to determine a person’s personality type based on some text they have written.

The diagnosis of blood-based diseases often involves identifying and characterizing patient blood samples. Automated methods to detect and classify blood cell subtypes have important medical applications. Built an AI system to classify a stained image of a white blood cell as either polynuclear or mononuclear. Classifying Eosinophils and Neutrophils as polynuclear while Lymphocytes and Monocytes as mononuclear using the AWS EC2 engine to train the data for accurate classification.

Pharmacovigilance (PV) is defined as the science and activities relating to the detection, assessment, understanding and prevention of adverse effects or any other drug-related problem. The aims of AI - PV are to enhance patient care and patient safety in relation to the use of medicines; and to support public health programmes by providing reliable, balanced information for the effective assessment of the risk-benefit profile of medicines by processing literature and case documents in maximum of 5 min which takes 45 min to 1.5 hrs for each case processing. Developed the Adverse Event – Drug model, Causality model, Seriousness model for Treatment model for faster processing with accuracy of 80% and more for out of sample data testing.

Pharmacovigilance (PV) is defined as the science and activities relating to the detection, assessment, understanding and prevention of adverse effects or any other drug-related problem. The aims of AI - PV are to enhance patient care and patient safety in relation to the use of medicines; and to support public health programmes by providing reliable, balanced information for the effective assessment of the risk-benefit profile of medicines by processing literature and case documents in maximum of 5 min which takes 45 min to 1.5 hrs for each case processing. Developed the Adverse Event – Drug model, Causality model, Seriousness model for Treatment model for faster processing with accuracy of 80% and more for out of sample data testing.

The diagnosis of blood-based diseases often involves identifying and characterizing patient blood samples. Automated methods to detect and classify blood cell subtypes have important medical applications. Built an AI system to classify a stained image of a white blood cell as either polynuclear or mononuclear. Classifying Eosinophils and Neutrophils as polynuclear while Lymphocytes and Monocytes as mononuclear using the AWS EC2 engine to train the data for accurate classification.

Depression is one of the major cause of psychological illness. Personality tests can be helpful in determining characteristics and traits about a person to better understand them. When one has insight into the personality of others with whom they are communicating, better discussions can ensue as well as long-lasting relationships. If we can understand how one perceives and acts based on his or her personality, we can then facilitate a better treatment plan as well. The Myers Briggs Type Indicator (or MBTI for short) is a personality type system that divides everyone into 16 distinct personality types across 4 axis:a. Introversion (I) – Extroversion (E)b. Intuition (N) – Sensing (S)c. Thinking (T) – Feeling (F)d. Judging (J) – Perceiving (P)Created an AI application produce a machine learning algorithm that can attempt to determine a persons personality type based on some text they have written.

Breast cancer is the most frequent cancer in women worldwide and is also the leading cause of cancer death among women, with approximately 500,000 annual deaths. Although imaging technology and mammographic interpretation have improved over time, mammography is not perfect and will not benefit all women equally. Mammography is less sensitive in women with dense breast tissue than those with non-dense tissue. There are false-positive (possible abnormalities that turn out not to be cancer or not even an abnormality) and false-negative (cancers that are present but go undetected on mammography) findings. Using AI, predict whether the cancer is malignant or benign through features that are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass